This document discusses various techniques for indirect communication and synchronization between tasks using monitors and condition variables. It describes critical regions, conditional critical regions, monitors, readers/writer problems, and different types of monitors based on their implicit scheduling order. Higher-level facilities like monitors make synchronization easier by handling some low-level details automatically.
Introducing Finite State Machine Modeling
Skills gained:
1- Modeling Finite State Machines
2- Identify different State Machine styles
3- Understanding State Encoding
This is part of VHDL 360 course
The document describes processes in VHDL. It defines a process as a concurrent statement that contains sequential logic. Processes run in parallel and can be conditioned by a sensitivity list or wait statement. Local variables retain their values between executions. It provides an example of a process with a sensitivity list and one with a wait statement. It also summarizes the general structure of a VHDL program and describes different types of process control including if-then-else, case statements, and decoders. Additional topics covered include flip-flops, counters, and finite state machines.
This document discusses various digital logic components including combinational logic gates, decoders, multiplexers, priority encoders, comparators, adders, and arithmetic logic units. It provides examples of Verilog code for 7-segment displays, decoders, and ALUs. It also outlines several logic design labs involving testing components like counters, decoders, multiplexers, and ALUs using stimulus and response monitoring.
This document describes a design for a counter seven segment display using an FPGA. The author implemented a counter component and a decoder component, then wired them together in a top-level systemSeg entity using port mapping. The counter counts from 0 to 9 and outputs a 4-bit binary coded decimal value. The decoder converts the 4-bit input to a 7-segment display output based on a case statement. The author notes that port mapping is useful for wiring components together in HDL and that designs need to be synchronous with a clock.
- VHDL is a hardware description language used to model digital circuits.
- In VHDL, components are used to model lower-level blocks that can be connected together to form more complex systems. Components are declared using ENTITY and ARCHITECTURE.
- Structural description models the internal connections between lower-level components. Components are instantiated using the PORT MAP statement to connect their ports to signals.
Stabilization of TORA System: A Backstepping Based Hierarchical Sliding Mode ...Shubhobrata Rudra
This document summarizes a hierarchical sliding mode control approach for stabilizing the TORA (Translational Oscillator Rotational Actuator) system. It presents adaptive backstepping sliding mode control to define control inputs for the translational and rotational motions. A coupling law is then introduced to account for the interaction between the two motions. Simulation results validate the control approach for stabilizing the underactuated TORA system in the presence of disturbances.
This document describes the history and features of the MDP-Plus expert advisor (EA). It was originally based on the MillionDollarPips EA and has undergone several versions with updates and improvements made by Capella. Key features of MDP-Plus v2.1.2 include trailing stops, support for no dealing desk brokers, optimized settings, and customization of indicators and order settings. The EA uses moving averages, Bollinger Bands, and other indicators to determine entry signals and manage open positions.
This document contains code for configuring a UART communication between a microcontroller and MATLAB using a serial port. It includes code for initializing the UART, transmitting and receiving characters, and an interrupt service routine to blink LEDs in response to received characters. It also describes including header files and shows an example GUI in MATLAB for sending characters over the serial port to control LEDs on the microcontroller.
Introducing Finite State Machine Modeling
Skills gained:
1- Modeling Finite State Machines
2- Identify different State Machine styles
3- Understanding State Encoding
This is part of VHDL 360 course
The document describes processes in VHDL. It defines a process as a concurrent statement that contains sequential logic. Processes run in parallel and can be conditioned by a sensitivity list or wait statement. Local variables retain their values between executions. It provides an example of a process with a sensitivity list and one with a wait statement. It also summarizes the general structure of a VHDL program and describes different types of process control including if-then-else, case statements, and decoders. Additional topics covered include flip-flops, counters, and finite state machines.
This document discusses various digital logic components including combinational logic gates, decoders, multiplexers, priority encoders, comparators, adders, and arithmetic logic units. It provides examples of Verilog code for 7-segment displays, decoders, and ALUs. It also outlines several logic design labs involving testing components like counters, decoders, multiplexers, and ALUs using stimulus and response monitoring.
This document describes a design for a counter seven segment display using an FPGA. The author implemented a counter component and a decoder component, then wired them together in a top-level systemSeg entity using port mapping. The counter counts from 0 to 9 and outputs a 4-bit binary coded decimal value. The decoder converts the 4-bit input to a 7-segment display output based on a case statement. The author notes that port mapping is useful for wiring components together in HDL and that designs need to be synchronous with a clock.
- VHDL is a hardware description language used to model digital circuits.
- In VHDL, components are used to model lower-level blocks that can be connected together to form more complex systems. Components are declared using ENTITY and ARCHITECTURE.
- Structural description models the internal connections between lower-level components. Components are instantiated using the PORT MAP statement to connect their ports to signals.
Stabilization of TORA System: A Backstepping Based Hierarchical Sliding Mode ...Shubhobrata Rudra
This document summarizes a hierarchical sliding mode control approach for stabilizing the TORA (Translational Oscillator Rotational Actuator) system. It presents adaptive backstepping sliding mode control to define control inputs for the translational and rotational motions. A coupling law is then introduced to account for the interaction between the two motions. Simulation results validate the control approach for stabilizing the underactuated TORA system in the presence of disturbances.
This document describes the history and features of the MDP-Plus expert advisor (EA). It was originally based on the MillionDollarPips EA and has undergone several versions with updates and improvements made by Capella. Key features of MDP-Plus v2.1.2 include trailing stops, support for no dealing desk brokers, optimized settings, and customization of indicators and order settings. The EA uses moving averages, Bollinger Bands, and other indicators to determine entry signals and manage open positions.
This document contains code for configuring a UART communication between a microcontroller and MATLAB using a serial port. It includes code for initializing the UART, transmitting and receiving characters, and an interrupt service routine to blink LEDs in response to received characters. It also describes including header files and shows an example GUI in MATLAB for sending characters over the serial port to control LEDs on the microcontroller.
Random stability in systemVerilog and UVM based testbenchKashyap Adodariya
All about random stability in sv and UVM based testbench including examples. Represent through example and dig. Also explain how any process get seed for randomize.
The document provides an overview of the OpenCL 3.0 API for parallel programming of heterogeneous systems. It summarizes the key components of the OpenCL runtime including command queues, memory objects, program and kernel objects. It also describes the OpenCL platform layer for querying devices and creating contexts. Image objects and functions for reading, writing and mapping images are also outlined.
Vulkan is a graphics and compute API that specifies shader programs, compute kernels, objects, and operations to produce high-quality 3D graphical images. It uses a programmable and state-driven pipeline model with fixed-function stages invoked by drawing operations. The API consists of commands, structures, and functions to define and manage physical devices, logical devices, command buffers, and pipelines for graphics and compute workloads. Key concepts include the use of queues to submit command buffers and synchronize access across multiple threads of execution.
This document describes techniques for creating rootkits on Linux x86 systems. It discusses obtaining the system call table, hooking system calls through various methods like direct modification of the table, inline hooking of system call code, and patching the system call handler. It also presents the idea of abusing debug registers to generate exceptions and intercept system calls. The goal is to conceal running processes, files, and other system data from detection.
Don't mention TLB (at all?!?), just confuses people. Was just put so people
were aware that it was being set up for deterministic behaviour (the side
channel is the cache exclusively, not the TLB missing).
Don't mention the privilege level arch stuff until *after* Variant 1 has been
discussed, rather prior to Variant 2, and especially 3/Meltdown.
To explain the victim vs. attacker domains better in Variant 1, the example of
two threads in a process should be given, where one thread is the
'parent'/'governor' of the other(s), and has privileged information, e.g., a
valid TLS session key for a bank account login in another thread/tab in a
browser. One thread should not be able to 'see' another's private data.
Items such as the AntiVirus report could easily be omitted...
Thanks,
Kim Phillips
The document summarizes the OpenCL runtime API and platform layer. It provides an overview of managing OpenCL objects like command queues and memory objects. It lists functions for querying platforms, devices, creating contexts, partitioning devices, and managing memory objects. It also describes pipe objects which are memory objects storing data organized as a FIFO.
This document discusses randomization using SystemVerilog. It begins by introducing constraint-driven test generation and random testing. It explains that SystemVerilog allows specifying constraints in a compact way to generate random values that meet the constraints. The document then discusses using objects to model complex data types for randomization. It provides examples of using SystemVerilog functions like $random, $urandom, and $urandom_range to generate random numbers. It also discusses constraining randomization using inline constraints and randomizing objects with the randomize method.
SIMWARE SimDeveloper provides a Visual Modeling Environment based on Simulink to focuse your engineering resources in the most important thing: modeling. Not coding. Say bye to unfinishable debugging and complex C++ code. This is an easy-to-use tool complimentary to the SIMWARE Framework and based on the Model Driven Architecture (MDA) paradigm. Just what your Program Manager will like.
SIMWARE, despite of being a new player in the so competitive Training & Simulation market, has been field-tested by prestigious organizations worldwide like the Spanish Armed Forces, INDRA, NAVANTIA, National Institute of Space Research in Brazil among others. It has been successfully implemented in different simulation systems, connecting legacy simulators and third-party COTS like VBS2, VR-Forces, StealBeastPro or STAGE.
radix_4 fft processor can be determine to creating for four channel and if it is from how moving the data from one stage to another stage and how get correct output equal to input.
the main advantage:creating for multiple channel from group of channel and analysis how moving of data from stage by stage,
increasing for data processing speed,
The OpenCL C++ Wrapper is designed to be built on top of the OpenCL 1.2 C API and is not a replacement. The C++ Wrapper API corresponds closely to the underlying C API and introduces no additional execution overhead.
The document discusses Bluespec, a hardware description language that allows for writing RTL designs from a higher level of abstraction. It covers Bluespec's toolchain which can generate Verilog code and perform simulation and synthesis. It also discusses Bluespec's strong type system and parallel programming model based on rules. The sample code shows how to write a bubble sort module in Bluespec using registers, rules, and scheduling constructs.
The document discusses new C++11 features including:
1. Uniform initialization syntax using curly braces {} which can initialize objects in a clear and consistent way compared to parentheses () or equals =.
2. Initializer lists and how they allow initializing objects from a list of values. However, initializer lists may prefer certain constructors unintuitively.
3. How uniform initialization helps prevent narrowing conversions and most vexing parse issues that could occur in C++98 code.
The document summarizes the OpenWF Composition 1.0 API for compositing 2D graphics. It describes key concepts like devices, contexts, sources, elements and rendering. A device represents graphics hardware. A context defines a visual scene for on/off-screen targets. Sources and elements contain image data that is composited onto the context according to attributes like transparency type and scale filtering. The API provides functions for device/context/element management and rendering frames with composition.
The document describes various computer vision functions available in the OpenVX API. Some key functions include:
1. Arithmetic functions like addition, subtraction, and convolution to perform basic image operations.
2. Feature detection functions like Harris corners, fast corners, and Canny edge detection to detect interest points and edges.
3. Filtering functions like box filtering, Gaussian filtering, and non-linear filtering to preprocess images.
4. Morphological functions like erosion, dilation, opening and closing for tasks like noise removal.
Parameters include images of various data formats as input and output. Functions are available in both immediate and graph modes to provide flexibility in implementation.
This document provides a quick reference to the key functions and commands in the OpenGL SC 2.0 specification. It summarizes the functions for handling errors and resets, vertex specification and drawing, buffer objects, viewport settings, rasterization, shaders and programs, per-fragment operations, framebuffer operations, and state queries. The summary is presented in 3 sentences or less highlighting the essential information and organization of the document.
Threads are lightweight processes that share the same address space. The Linux implementation uses clone() to create threads that have separate thread IDs but share other attributes like the virtual memory. Pthreads provides objects and functions for thread management including creation, attributes, mutual exclusion with mutexes and condition variables, cancellation, and thread-specific data.
A race condition occurs when there is missing synchronization or mutual exclusion between tasks, allowing them to access shared resources simultaneously in an unpredictable order. Deadlock is when one or more processes are waiting indefinitely for resources held by other processes due to a circular wait dependency. Several techniques can be used to prevent or avoid deadlock, including preventing certain conditions required for deadlock, ordering resource allocation, and monitoring the system to detect unsafe states.
This document discusses concurrency in C++. It notes that while C++ is commonly used, it lacks built-in concurrency support. To take advantage of parallel hardware, concurrency must be explicitly specified by programmers. The document proposes augmenting C++ with a unified concurrency mechanism called μC++ that tightly integrates advanced control flow using threads represented as objects. It would use mutexes for synchronization and focus on method calls for communication to match C++'s design. The outline describes how coroutines, threads, locking, errors, monitors, and tasks would be addressed.
Random stability in systemVerilog and UVM based testbenchKashyap Adodariya
All about random stability in sv and UVM based testbench including examples. Represent through example and dig. Also explain how any process get seed for randomize.
The document provides an overview of the OpenCL 3.0 API for parallel programming of heterogeneous systems. It summarizes the key components of the OpenCL runtime including command queues, memory objects, program and kernel objects. It also describes the OpenCL platform layer for querying devices and creating contexts. Image objects and functions for reading, writing and mapping images are also outlined.
Vulkan is a graphics and compute API that specifies shader programs, compute kernels, objects, and operations to produce high-quality 3D graphical images. It uses a programmable and state-driven pipeline model with fixed-function stages invoked by drawing operations. The API consists of commands, structures, and functions to define and manage physical devices, logical devices, command buffers, and pipelines for graphics and compute workloads. Key concepts include the use of queues to submit command buffers and synchronize access across multiple threads of execution.
This document describes techniques for creating rootkits on Linux x86 systems. It discusses obtaining the system call table, hooking system calls through various methods like direct modification of the table, inline hooking of system call code, and patching the system call handler. It also presents the idea of abusing debug registers to generate exceptions and intercept system calls. The goal is to conceal running processes, files, and other system data from detection.
Don't mention TLB (at all?!?), just confuses people. Was just put so people
were aware that it was being set up for deterministic behaviour (the side
channel is the cache exclusively, not the TLB missing).
Don't mention the privilege level arch stuff until *after* Variant 1 has been
discussed, rather prior to Variant 2, and especially 3/Meltdown.
To explain the victim vs. attacker domains better in Variant 1, the example of
two threads in a process should be given, where one thread is the
'parent'/'governor' of the other(s), and has privileged information, e.g., a
valid TLS session key for a bank account login in another thread/tab in a
browser. One thread should not be able to 'see' another's private data.
Items such as the AntiVirus report could easily be omitted...
Thanks,
Kim Phillips
The document summarizes the OpenCL runtime API and platform layer. It provides an overview of managing OpenCL objects like command queues and memory objects. It lists functions for querying platforms, devices, creating contexts, partitioning devices, and managing memory objects. It also describes pipe objects which are memory objects storing data organized as a FIFO.
This document discusses randomization using SystemVerilog. It begins by introducing constraint-driven test generation and random testing. It explains that SystemVerilog allows specifying constraints in a compact way to generate random values that meet the constraints. The document then discusses using objects to model complex data types for randomization. It provides examples of using SystemVerilog functions like $random, $urandom, and $urandom_range to generate random numbers. It also discusses constraining randomization using inline constraints and randomizing objects with the randomize method.
SIMWARE SimDeveloper provides a Visual Modeling Environment based on Simulink to focuse your engineering resources in the most important thing: modeling. Not coding. Say bye to unfinishable debugging and complex C++ code. This is an easy-to-use tool complimentary to the SIMWARE Framework and based on the Model Driven Architecture (MDA) paradigm. Just what your Program Manager will like.
SIMWARE, despite of being a new player in the so competitive Training & Simulation market, has been field-tested by prestigious organizations worldwide like the Spanish Armed Forces, INDRA, NAVANTIA, National Institute of Space Research in Brazil among others. It has been successfully implemented in different simulation systems, connecting legacy simulators and third-party COTS like VBS2, VR-Forces, StealBeastPro or STAGE.
radix_4 fft processor can be determine to creating for four channel and if it is from how moving the data from one stage to another stage and how get correct output equal to input.
the main advantage:creating for multiple channel from group of channel and analysis how moving of data from stage by stage,
increasing for data processing speed,
The OpenCL C++ Wrapper is designed to be built on top of the OpenCL 1.2 C API and is not a replacement. The C++ Wrapper API corresponds closely to the underlying C API and introduces no additional execution overhead.
The document discusses Bluespec, a hardware description language that allows for writing RTL designs from a higher level of abstraction. It covers Bluespec's toolchain which can generate Verilog code and perform simulation and synthesis. It also discusses Bluespec's strong type system and parallel programming model based on rules. The sample code shows how to write a bubble sort module in Bluespec using registers, rules, and scheduling constructs.
The document discusses new C++11 features including:
1. Uniform initialization syntax using curly braces {} which can initialize objects in a clear and consistent way compared to parentheses () or equals =.
2. Initializer lists and how they allow initializing objects from a list of values. However, initializer lists may prefer certain constructors unintuitively.
3. How uniform initialization helps prevent narrowing conversions and most vexing parse issues that could occur in C++98 code.
The document summarizes the OpenWF Composition 1.0 API for compositing 2D graphics. It describes key concepts like devices, contexts, sources, elements and rendering. A device represents graphics hardware. A context defines a visual scene for on/off-screen targets. Sources and elements contain image data that is composited onto the context according to attributes like transparency type and scale filtering. The API provides functions for device/context/element management and rendering frames with composition.
The document describes various computer vision functions available in the OpenVX API. Some key functions include:
1. Arithmetic functions like addition, subtraction, and convolution to perform basic image operations.
2. Feature detection functions like Harris corners, fast corners, and Canny edge detection to detect interest points and edges.
3. Filtering functions like box filtering, Gaussian filtering, and non-linear filtering to preprocess images.
4. Morphological functions like erosion, dilation, opening and closing for tasks like noise removal.
Parameters include images of various data formats as input and output. Functions are available in both immediate and graph modes to provide flexibility in implementation.
This document provides a quick reference to the key functions and commands in the OpenGL SC 2.0 specification. It summarizes the functions for handling errors and resets, vertex specification and drawing, buffer objects, viewport settings, rasterization, shaders and programs, per-fragment operations, framebuffer operations, and state queries. The summary is presented in 3 sentences or less highlighting the essential information and organization of the document.
Threads are lightweight processes that share the same address space. The Linux implementation uses clone() to create threads that have separate thread IDs but share other attributes like the virtual memory. Pthreads provides objects and functions for thread management including creation, attributes, mutual exclusion with mutexes and condition variables, cancellation, and thread-specific data.
A race condition occurs when there is missing synchronization or mutual exclusion between tasks, allowing them to access shared resources simultaneously in an unpredictable order. Deadlock is when one or more processes are waiting indefinitely for resources held by other processes due to a circular wait dependency. Several techniques can be used to prevent or avoid deadlock, including preventing certain conditions required for deadlock, ordering resource allocation, and monitoring the system to detect unsafe states.
This document discusses concurrency in C++. It notes that while C++ is commonly used, it lacks built-in concurrency support. To take advantage of parallel hardware, concurrency must be explicitly specified by programmers. The document proposes augmenting C++ with a unified concurrency mechanism called μC++ that tightly integrates advanced control flow using threads represented as objects. It would use mutexes for synchronization and focus on method calls for communication to match C++'s design. The outline describes how coroutines, threads, locking, errors, monitors, and tasks would be addressed.
Spinning locks use busy waiting to synchronize tasks, while blocking locks allow tasks to block instead of spin. The document discusses different types of locks including spin locks, mutex locks, and owner locks. It provides examples of how these locks can be implemented and used to synchronize access to shared resources.
1) Tasks provide mutual exclusion like monitors but allow direct communication between tasks through rendezvous.
2) A task has its own thread of control and execution state. It begins execution when created in its task main method.
3) External scheduling controls which mutex members of a task can accept calls using the _Accept statement similar to monitors. Internal scheduling handles scheduling within the task.
Threads allow concurrent execution through independent sequential paths. A thread is scheduled independently from other threads. Tasks are similar to processes but reduced in dimension and often share memory. Concurrency requires mechanisms for thread creation, synchronization, and communication. Parallel execution uses multiple CPUs while concurrent execution uses multiple threads through task switching on a single CPU.
The document discusses several programming languages and libraries that provide concurrency constructs for parallel programming. It describes features for concurrency in Ada 95, Java, and C/C++ libraries including pthreads. Key features covered include threads, mutual exclusion locks, condition variables, and examples of implementing a bounded buffer for inter-thread communication.
This document discusses coroutines and provides examples of using coroutines to generate Fibonacci sequences and format output text. Some key points:
- A coroutine can be suspended and later resumed from the point of suspension, retaining its execution state. This allows breaking execution into multiple calls.
- Examples show generating Fibonacci sequences using direct code, routines, classes, and coroutines. Coroutines avoid needing explicit execution state.
- Additional examples format a block of input text into structured output blocks using direct code and coroutines. Coroutines simplify retaining state across multiple calls.
The document is an untitled HTML file that consists of 19 numbered pages without any visible text or content. It appears to be an empty or incomplete document.
Highlighted key points on the following concepts of C Language,I/O Functions,Bitwise operators, preincrement operator,post increment operator ,storage class,functions,Sample Code Snippets
The document describes the design and implementation of a seven segment counter on an FPGA. It includes the implementation of a prescaler, debouncing circuit, binary coded decimal (BCD) counter, and seven segment decoder. The prescaler was initially generating a warning about excessive skew, which was resolved by adding a clock buffer to the prescaler output. The design components are instantiated and connected in the top level system counter entity.
Verilog HDL Basics covers the basics of Verilog including data types, modules, simulation, operators, assignments, and flow control. It discusses key concepts like event-driven simulation, blocking vs non-blocking assignments, continuous assignments, initial and always blocks, and control structures like if, case, for loops. The document provides examples to illustrate Verilog syntax and how it is used to model hardware at the register transfer level.
The document discusses exception handling in C++. It provides examples of throwing exceptions from functions using try/catch blocks. It explains that exceptions allow programs to handle errors and unexpected situations gracefully rather than crashing. The document also discusses catching multiple exception types using multiple catch blocks or a catch-all block. Well-handled exceptions can prevent bugs and make programs more robust.
Verilog HDL is introduced for modeling digital hardware at different levels of abstraction. Key concepts discussed include:
- Module instantiation, assignments, and procedural blocks for behavioral modeling.
- Concurrency is modeled using an event-based simulation approach with a time wheel concept.
- Switch level and gate level modeling using built-in primitives like transistors and logic gates.
- User-defined primitives (UDPs) allow custom logic to augment pre-defined primitives.
This chapter introduces interrupts, counters, timers and their applications in microcontrollers. It discusses the underlying hardware structures that support interrupts and counting functions. It then describes the specific interrupt and Timer 0 structures in the PIC16F84A microcontroller. Simple programming examples are provided to demonstrate how to use interrupts and Timer 0 for applications like input detection and time delay. The chapter also discusses interrupt latency and techniques like interrupt masking for use in critical program sections.
This document summarizes an obfuscation technique called function merging. It describes creating a single merge function that acts as a dispatcher for other functions via a switch statement. The merge function loads arguments, replaces returns, and moves function content. Wrappers are created to call the merge function and avoid API breakage.
Each process has a unique process ID and maintains its parent's ID. A process's virtual memory is divided into segments like the stack and heap. When a program runs, its command-line arguments and environment are passed via argc/argv and the environ list. The setjmp() and longjmp() functions allow non-local jumps between functions, but their use should be avoided due to restrictions and compiler optimizations that can affect variable values.
This document provides an overview of three-address code (TAC) as an intermediate representation for code generation. It discusses how TAC represents simple expressions, control flow statements like if/else and while loops, and function calls. Key aspects of TAC include:
- Using at most three operands per instruction
- Introducing temporary variables when needed
- Explicit labels and jumps for control flow
- Pushing and popping parameters at function calls
- Managing stack frames for local variables and parameters
The document provides examples of TAC code for simple expressions, control flow, and full Decaf programs to illustrate how different language constructs are lowered to the TAC IR.
This document provides an overview of input and output in C++ using iostream.h. It discusses the basic input/output objects like cout, cin, and cerr. It covers the insertion and extraction operators for outputting and inputting different data types. It also describes various format flags and manipulators that can be used to control the formatting of output, like setting the number base, width, precision and justification. The document concludes by discussing file input/output using fstream.h and how to open, read from, write to and close files.
For Coordination, State Component Transitions - Radoslaw Szymanek, Simon Bliudzemfrancis
For Coordination, State Component Transitions discusses applying lessons learned from embedded systems to Java using the BIP framework. BIP provides a toolset for component-based system design with independent software entities that must be coordinated as they share resources and exchange data and communication can be complex. The document presents examples of how BIP separates coordination concerns from component behavior through the use of finite state machines and an engine to control interactions based on priorities. It describes implementing coordination of Camel routes using a BIP model and monitor component to limit the number of active routes.
This document discusses various techniques for process synchronization including the critical section problem, semaphores, and classical synchronization problems like the bounded buffer, readers-writers, and dining philosophers problems. It provides code examples to illustrate how semaphores can be used to synchronize access to shared resources and ensure mutual exclusion between concurrent processes.
This document discusses various techniques for process synchronization including the critical section problem, semaphores, and classical synchronization problems like the bounded buffer, readers-writers, and dining philosophers problems. It provides code examples to illustrate how semaphores can be used to synchronize access to shared resources and ensure mutual exclusion between concurrent processes.
Handling Exceptions In C & C++ [Part B] Ver 2ppd1961
This document discusses exception handling in C++. It provides an overview of how compilers manage exceptional control flow and how functions are instrumented to handle exceptions. It discusses normal vs exceptional function call flows, and the items involved in stack frames like context, finalization, and unwinding. It also summarizes Meyers' guidelines for exception safety, including using destructors to prevent leaks, handling exceptions in constructors, and preventing exceptions from leaving destructors.
The document discusses analyzing crashes using WinDbg. It provides tips on reconstructing crashed call stacks and investigating what thread or lock is causing a hang. The debugging commands discussed include !analyze, !locks, .cxr, kb to find the crashing function and stuck thread.
Hardware description languages (HDLs) allow designers to describe digital systems at different levels of abstraction in a textual format. The two most commonly used HDLs are Verilog and VHDL. Verilog is commonly used in the US, while VHDL is more popular in Europe. HDLs enable simulation of designs before fabrication to verify functionality. Digital designs can be modeled at the gate level, data flow level, or behavioral level in Verilog. Verilog code consists of a design module and test bench module to stimulate inputs and observe outputs.
Taming event-driven software via formal verificationAdaCore
Event-driven software can be found everywhere, from low-level drivers, to software that controls and coordinates complex subcomponents, and even in GUIs. Typically, event-driven software is characterised as consisting of a number of stateful components that communicate by sending messages to each other. Event-driven software is notoriously difficult to test. There are often many different sequences of events, and because the exact order of the events will affect the state of the system, it can be easy for bugs to lurk in obscure un-tested sequences of events. Even worse, reproducing these bugs can be difficult due to the need to reproduce the exact sequence of events that led to the issue.
Formal verification is one method of solving this: rather than writing tests to check each of the different possible sequences of events, automated formal verification could be used to verify that the software is correct no matter what sequence of events is observed. In this talk, we will look at what capabilities are required to ensure that this will be successful, including what it means for event-driven software to be correct, and how to ensure that the verification can scale to industrial-sized software projects.
The document discusses floating point arithmetic. It describes the IEEE-754 single and double precision floating point formats which use 1 sign bit, a biased exponent field, and a significand field to represent values. It provides examples of how positive and negative floating point numbers are represented internally in binary and decoded to determine the sign, true exponent, and significand to calculate the base 10 value. The document also mentions an upcoming exam and provides project due dates.
The timer project uses a FPGA board to display elapsed time on a seven segment display. It is implemented using VHDL with hardware blocks that include a BCD counter, HEX decoder, and finite state machine (FSM). The BCD counter counts the time in binary coded decimal format. The HEX decoder converts the BCD output to the hexadecimal display format for the seven segment display. The FSM controls the different states of the timer for the start, stop, and reset functions using the button inputs.
Similar to Indirect Communications (Concurrency) (20)
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Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Dragging a folder to the right side of the Dock creates a stack. Stacks can be viewed as a fan or grid and allow easy access and organization of files. Customization options exist for sorting and viewing stacks.
Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Stacks can be created by dragging any folder to the right side of the Dock. Clicking a stack will display its contents in either a fan or grid layout. Files can be added or removed from stacks by dragging them in or out. The Documents and Downloads stacks are pre-made for organizing common file types.
Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Dragging a folder to the right side of the Dock creates a stack. Stacks can be viewed as a fan or grid and allow easy access and organization of files. Customization options exist for sorting and viewing stacks.
Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Dragging a folder to the right side of the Dock creates a stack. Stacks can be viewed as a fan or grid and allow easy access and organization of files. Customization options exist for sorting and viewing stacks.
Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Dragging a folder to the right side of the Dock creates a stack. Stacks can be viewed as a fan or grid and allow easy access and organization of files. Customization options exist for sorting and viewing stacks.
Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Stacks can be created by dragging any folder to the right side of the Dock. Clicking a stack will display its contents in either a fan or grid layout. Files can be added or removed from stacks by dragging them in or out. The Documents and Downloads stacks are pre-made for organizing common file types.
Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Dragging a folder to the right side of the Dock creates a stack. Stacks can be viewed as a fan or grid and allow easy access and organization of files. Customization options exist for sorting and viewing stacks.
Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Dragging a folder to the right side of the Dock creates a stack. Stacks can be viewed as a fan or grid and allow easy access and organization of files. Customization options exist for sorting and viewing stacks.
Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Stacks can be created by dragging any folder to the right side of the Dock. Clicking a stack will display its contents in either a fan or grid layout. Files can be added or removed from stacks by dragging them in or out. The Documents and Downloads stacks are pre-made for organizing common file types.
Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Dragging a folder to the right side of the Dock creates a stack. Stacks can be viewed as a fan or grid and allow easy access and organization of files. Customization options exist for sorting and viewing stacks.
Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Dragging a folder to the right side of the Dock creates a stack. Stacks can be viewed as a fan or grid and allow easy access and organization of files. Customization options exist for sorting and viewing stacks.
Stacks are a new feature in Mac OS X Leopard that allow you to access frequently used files directly from the Dock. Dragging a folder to the right side of the Dock creates a stack. Stacks can be viewed as a fan or grid and allow easy access and organization of files. Customization options exist for sorting and viewing stacks.
The document discusses key concepts in distributed systems including networking, remote procedure calls (RPC), and transaction processing systems (TPS). It covers networking fundamentals like sockets and ports. It describes how RPC works by allowing functions to be called remotely. It explains the ACID properties that TPS must support for atomicity, consistency, isolation, and durability of transactions processed across distributed systems.
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2) BOINC is a volunteer computing platform that uses over a million computers worldwide for distributed applications like disease research. It provides incentives and verifies results to prevent cheating.
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The Google File System (GFS) was designed by Google to store massive amounts of data across cheap, unreliable hardware. It uses a single master to coordinate metadata and mutations across multiple chunkservers. Files are divided into fixed-size chunks which are replicated for reliability. The design focuses on supporting huge files that are written once and read through streaming, while tolerating high failure rates through replication and relaxed consistency. GFS has proven successful at meeting Google's storage needs at massive scale.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
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Power Grid Model
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What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
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Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
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Overview
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11. What is a Jupyter Notebook?
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12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
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Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
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Indirect Communications (Concurrency)
1. 6 Indirect Communication
• P and V are low level primitives for protecting critical sections and
establishing synchronization between tasks.
• Shared variables provide the actual information that is communicated.
• Both of these can be complicated to use and may be incorrectly placed.
• Split-binary semaphores and baton passing are complex.
• Need higher level facilities that perform some of these details
automatically.
• Get help from programming-language/compiler.
6.1 Critical Regions
• Declare which variables are to be shared, as in:
VAR v : SHARED INTEGER
• Access to shared variables is restricted to within a REGION statement,
and within the region, mutual exclusion is guaranteed.
Except as otherwise noted, the content of this presentation is licensed under the Creative Com-
mons Attribution 2.5 License.
169
2. 170
semaphore v_lock(1);
REGION v DO P(v_lock)
// critical section ... // x = v; (read) v = y (write)
END REGION V(v_lock)
• Nesting can result in deadlock.
VAR x, y : SHARED INTEGER
task1 task2
REGION x DO REGION y DO
... ...
REGION y DO REGION x DO
... ...
END REGION END REGION
... ...
END REGION END REGION
• Simultaneous reads are impossible!
• Modify to allow reading of shared variables outside the critical region
and modifications in the region.
• Problem: reading partially updated information while a task is updating
3. 171
the shared variable in the region.
6.2 Conditional Critical Regions
• Introduce a condition that must be true as well as having mutual
exclusion.
REGION v DO
AWAIT conditional-expression
...
END REGION
• E.g. The consumer from the producer-consumer problem.
VAR Q : SHARED QUEUE<INT,10>
REGION Q DO
AWAIT NOT EMPTY( Q ) buffer not empty
take an item from the front of the queue
END REGION
If the condition is false, the region lock is released and entry is started
again (busy waiting).
4. 172
6.3 Monitor
• A monitor is an abstract data type that combines shared data with
serialization of its modification.
_Monitor name {
shared data
members that see and modify the data
};
• A mutex member (short for mutual-exclusion member) is one that does
NOT begin execution if there is another active mutex member.
– ⇒ a call to a mutex member may become blocked waiting entry, and
queues of waiting tasks may form.
– Public member routines of a monitor are implicitly mutex and other
kinds of members can be made explicitly mutex ( _Mutex).
• Basically each monitor has a lock which is Ped on entry to a monitor
member and Ved on exit.
5. 173
class Mon {
int v;
uSemaphore MonitorLock(1)
public:
int x(. . .) {
MonitorLock.P()
... // int temp = v;
MonitorLock.V()
return v; // return temp;
}
• Unhandled exceptions raised within a monitor always release the
implicit monitor locks so the monitor can continue to function.
• Atomic counter using a monitor:
6. 174
_Monitor AtomicCounter {
int counter;
public:
AtomicCounter( int init ) : counter( init ) {}
int inc() { counter += 1; return counter; }
int dec() { counter -= 1; return counter; }
};
AtomicCounter a, b, c;
. . . a.inc(); . . .
. . . b.dec(); . . .
. . . c.inc(); . . .
• Recursive entry is allowed (owner mutex lock), i.e., one mutex member
can call another or itself.
• Destructor is mutex, so ending a block with a monitor or deleting a
dynamically allocated monitor, blocks if thread in monitor.
6.4 Scheduling (Synchronization)
• A monitor may want to schedule tasks in an order different from the
order in which they arrive.
7. 175
• There are two techniques: external and internal scheduling.
– external is scheduling tasks outside the monitor and is accomplished
with the accept statement.
– internal is scheduling tasks inside the monitor and is accomplished
using condition variables with signal & wait.
6.4.1 External Scheduling
• The accept statement controls which mutex members can accept calls.
• By preventing certain members from accepting calls at different times, it
is possible to control scheduling of tasks.
• E.g. Bounded Buffer
8. 176
b
_Monitor BoundedBuffer { mutex routines calling
int front, back, count; insert remove d
int Elements[20];
b d c
public:
BoundedBuffer() : front(0), back(0), count(0) {} c a a
_Nomutex int query() { return count; }
[_Mutex] void insert( int elem ); shared data
[_Mutex] int remove();
};
acceptor
void BoundedBuffer::insert( int elem ) {
if ( count == 20 ) _Accept( remove ); // hold insert calls exit
Elements[back] = elem;
back = ( back + 1 ) % 20;
count += 1;
}
int BoundedBuffer::remove() {
if ( count == 0 ) _ Accept( insert ); // hold remove calls
int elem = Elements[front];
front = ( front + 1 ) % 20;
count -= 1;
return elem;
}
9. 177
• Queues of tasks form outside the monitor, waiting to be accepted into
either insert or remove.
• An acceptor blocks until a call to the specified mutex member(s) occurs.
• Accepted call is executed like a conventional member call.
• When the accepted task exits the mutex member (or blocks), the
acceptor continues.
• If the accepted task does an accept, it blocks, forming a stack of blocked
acceptors.
6.4.2 Internal Scheduling
• Scheduling among tasks inside the monitor.
• A condition is a queue of waiting tasks:
uCondition x, y, z[5];
• A task waits (blocks) by placing itself on a condition:
x.wait(); // wait( mutex, condition )
Atomically places the executing task at the back of the condition queue,
and allows another task into the monitor by releasing the monitor lock.
10. 178
• A task on a condition queue is made ready by signalling the condition:
x.signal();
This removes a blocked task at the front of the condition queue and
makes it ready.
• Like Ving a semaphore, the signaller does not block, so the signalled
task must continue waiting until the signaller exits or waits.
• A signal on an empty condition is lost!
11. 179
• E.g. Bounded Buffer (like binary semaphore solution):
_Monitor BoundedBuffer {
uCondition NonEmpty, NonFull;
int front, back, count;
int Elements[20];
public:
BoundedBuffer() : front(0), back(0), count(0) {} calling
_Nomutex int query() { return count; }
void insert( int elem ) {
if ( count == 20 ) NonFull.wait(); shared data
Elements[back] = elem; wait
back = ( back + 1 ) % 20; signal
count += 1;
NonEmpty.signal(); NonEmpty
} signalBlock signalled
int remove() {
if ( count == 0 ) NonEmpty.wait();
int elem = Elements[front]; NonFull
front = ( front + 1 ) % 20; exit
count -= 1;
NonFull.signal();
return elem;
}
};
12. 180
• wait() blocks the current thread, and restarts a signalled task or implicitly
releases the monitor lock.
• signal() unblocks the thread on the front of the condition queue after the
signaller thread blocks or exits.
• signalBlock() unblocks the thread on the front of the condition queue and
blocks the signaller thread.
• General Model
13. 181
entry
queue
mutex
b
queues
X Y d order of
b d c arrival
a c a
condition
_Monitor Mon { A
acceptor/
uCondition A, B; signalled
... shared stack
public:
int X(. . .) {. . .} variables
void Y(. . .) {. . .}
};
condition
B
exit
active task blocked task duplicate
• The entry queue is a queue of all calling tasks in the order the calls
were made to the monitor.
14. 182
• explicit scheduling occurs when:
– An accept statement blocks the active task on the acceptor stack and
makes a task ready from the specified mutex member queue.
– A signal moves a task from the specified condition to the signalled
stack.
• implicit scheduling occurs when a task waits in or exits from a mutex
member, and a new task is selected first from the A/S stack, then the
entry queue.
internal scheduling (signal)
explicit scheduling external scheduling (accept)
•
implicit scheduling monitor selects (wait/exit)
• Use external scheduling unless:
– scheduling depends on member parameter value(s), e.g., compatibility
code for dating:
– a task might be further blocked while in the monitor (e.g., wait for
additional resources)
15. 183
_Monitor DatingService {
uCondition girls[20], boys[20], exchange;
int girlPhoneNo, boyPhoneNo;
public:
int girl( int phoneNo, int ccode ) {
if ( boys[ccode].empty() ) {
girls[ccode].wait();
girlPhoneNo = phoneNo;
exchange.signal();
} else {
girlPhoneNo = phoneNo;
boys[ccode].signal(); // signalBlock() & remove exchange
exchange.wait();
}
return boyPhoneNo;
}
int boy( int phoneNo, int ccode ) {
// same as above, with boy/girl interchanged
}
};
• Use implicit mutex queues to prevent double (queueing) blocking.
20. 188
• Why has the order of the member routines changed?
6.6 Condition, Signal, Wait vs. Counting Semaphore, V, P
• There are several important differences between these mechanisms:
– wait always blocks, P only blocks if semaphore = 0
– if signal occurs before a wait, it is lost, while a V before a P affects the
P
– multiple Vs may start multiple tasks simultaneously, while multiple
signals only start one task at a time because each task must exit
serially through the monitor
• It is possible to construct P and V using a monitor:
21. 189
_Monitor semaphore {
int sem;
uCondition semcond;
public:
semaphore( int cnt = 1 ) : sem( cnt ) {}
void P() {
if ( sem == 0 ) semcond.wait();
sem -= 1;
}
void V() {
sem += 1;
semcond.signal();
}
};
6.7 Monitor Types
• Monitors are classified by the implicit scheduling (who gets control) of
the monitor when a task waits or signals or exits.
• Implicit scheduling can select from the calling (C), signalled (W) and
signaller (S) queues.
22. 190
calling (C)
signalled (W)
mutex
object
conditions
variables
signaller (S)
exit
active task blocked task
– Assigning different priorities to these queues creates different
monitors (e.g., C < W < S).
– Many of the possible orderings can be rejected as they do not produce
a useful monitor (e.g., W < S < C).
23. 191
• Implicit Signal
– Monitors either have an explicit signal (statement) or an implicit
signal (automatic signal).
– The implicit signal monitor has no condition variables or explicit
signal statement.
– Instead, there is a waitUntil statement, e.g.:
waitUntil logical-expression
– The implicit signal causes a task to wait until the conditional
expression is true.
24. 192
_Monitor BoundedBuffer {
int front, back, count;
int Elements[20];
public:
BoundedBuffer() : front(0), back(0), count(0) {}
_Nomutex int query() { return count; }
void insert( int elem ) {
waitUntil count != 20; // not in uC++
Elements[back] = elem;
back = ( back + 1 ) % 20;
count += 1;
}
int remove() {
waitUntil count != 0; // not in uC++
int elem = Elements[front];
front = ( front + 1 ) % 20;
count -= 1;
return elem;
}
};
25. 193
• There is a restricted monitor type that requires that the signaller exit
immediately from the monitor (i.e., signal ⇒ return), called
immediate-return signal.
• Ten kinds of useful monitor are suggested:
signal type priority no priority
Blocking Priority Blocking (Hoare) No Priority Blocking
C < S < W (µC+ signalBlock)
+ C=S<W
Nonblocking Priority Nonblocking No Priority Nonblocking
C < W < S (µC+ signal)
+ C = W < S (Java/C#)
Quasi Priority Quasi No Priority Quasi
-blocking C<W=S C=W=S
Immediate Priority Return No Priority Return
Return C<W C=W
Priority No Priority
Implicit Implicit Signal Implicit Signal
Signal C<W C=W
– No-priority monitors require the signalled task to recheck the waiting
condition in case of a barging task.
⇒ use a while loop around a wait instead of an if
– Implicit (automatic) signal monitors are good for prototyping but have
poor performance.
26. 194
– Immediate-return monitors are not powerful enough to handle all
cases but optimize the most common case of signal before return.
– Quasi-blocking monitors makes cooperation too difficult.
– priority-nonblocking monitor has no barging and optimizes signal
before return (supply cooperation).
– priority-blocking monitor has no barging and handles internal
cooperation within the monitor (wait for cooperation).
• Java monitor
– synchronized (wrong name) ⇒ mutex
– only one condition variable per monitor
(new Java library has multiple conditions but are incompatible with
language condition)
– condition operations: wait(), signal(), notifyall()
– no-priority nonblocking monitor ⇒ while ( ! C ) wait();
• coroutine monitor
– coroutine with implicit mutual exclusion on calls to specified member
routines:
27. 195
_Mutex _Coroutine C { // _Cormonitor
void main() {
. . . suspend() . . .
. . . suspend() . . .
}
public:
void m1( . . . ) { . . . resume(); . . . } // mutual exclusion
void m2( . . . ) { . . . resume(); . . . } // mutual exclusion
. . . // destructor is ALWAYS mutex
};
– can use resume(), suspend(), condition variables (wait(), signal(),
signalBlock()) or _Accept on mutex members.
– coroutine can now be used by multiple threads, e.g., coroutine
print-formatter accessed by multiple threads.