Operating system 24 mutex locks and semaphoresVaibhav Khanna
Mutual Exclusion - If process Pi is executing in its critical section, then no other processes can be executing in their critical sections
2. Progress - If no process is executing in its critical section and there exist some processes that wish to enter their critical section, then the selection of the processes that will enter the critical section next cannot be postponed indefinitely
3. Bounded Waiting - A bound must exist on the number of times that other processes are allowed to enter their critical sections after a process has made a request to enter its critical section and before that request is granted
Assume that each process executes at a nonzero speed
No assumption concerning relative speed of the n processes
1) The document discusses synchronization techniques in operating systems, including semaphores invented by Dijkstra, which provide a way for processes to synchronize without busy waiting.
2) Semaphores use two operations - wait and signal - to synchronize access to shared resources. They can be implemented without busy waiting by blocking processes waiting on the semaphore.
3) Classical synchronization problems like the bounded buffer, readers-writers problem, and dining philosophers problem are presented and solutions using semaphores are described to avoid deadlock and starvation.
Semaphore = a synchronization primitive
higher level of abstraction than locks
invented by Dijkstra in 1968, as part of the THE operating system
A semaphore is:
a variable that is manipulated through two operations, P and V (Dutch for “test” and “increment”)
P(sem) (wait/down)
block until sem > 0, then subtract 1 from sem and proceed
V(sem) (signal/up)
add 1 to sem
Do these operations atomically
1) A semaphore consists of a counter, a waiting list, and wait() and signal() methods. Wait() decrements the counter and blocks if it becomes negative, while signal() increments the counter and resumes a blocked process if the counter becomes positive.
2) The dining philosophers problem is solved using semaphores to lock access to shared chopsticks, with one philosopher designated as a "weirdo" to avoid deadlock by acquiring locks in a different order.
3) The producer-consumer problem uses three semaphores - one to limit buffer size, one for empty slots, and one for locks - to coordinate producers adding to a bounded buffer
This document contains slides from a lecture on operating system concepts. It discusses topics like process synchronization, Peterson's solution to the critical section problem, synchronization hardware, semaphores, monitors, and atomic transactions. It provides examples of how these concepts can be used to solve problems like the bounded buffer problem and consumer-producer problem. The document contains 42 slides with code snippets and explanations of key synchronization concepts.
This document discusses semaphores and their use for synchronization between threads or processes. It defines semaphores as consisting of a positive integer value and atomic P() and V() operations that decrement and increment the value. Semaphores can be used for mutual exclusion by initializing a binary semaphore to 1 and having threads call P() before and V() after critical sections. Semaphores can also be used to synchronize producers and consumers in a bounded buffer problem, ensuring the consumer waits if the buffer is empty and the producer waits if the buffer is full. The document outlines implementations of semaphores using spinlocks or queues and the system calls used to manage semaphores in UNIX.
This document discusses semaphores and their use in solving critical section problems. It defines semaphores, describes their wait and signal methods, and types including counting and binary semaphores. It then explains how semaphores can be used to solve classical synchronization problems like the bounded buffer, readers-writers, and dining philosophers problems. Examples of semaphore implementations are provided for each problem.
This document discusses semaphores, which are integer variables that coordinate access to shared resources. It describes counting semaphores, which allow multiple processes to access a critical section simultaneously up to a set limit, and binary semaphores, which only permit one process at a time. Key differences are that counting semaphores can have any integer value while binary semaphores are limited to 0 or 1, and counting semaphores allow multiple slots while binary semaphores provide strict mutual exclusion. Limitations of semaphores include potential priority inversion issues and deadlocks if not used properly.
Operating system 24 mutex locks and semaphoresVaibhav Khanna
Mutual Exclusion - If process Pi is executing in its critical section, then no other processes can be executing in their critical sections
2. Progress - If no process is executing in its critical section and there exist some processes that wish to enter their critical section, then the selection of the processes that will enter the critical section next cannot be postponed indefinitely
3. Bounded Waiting - A bound must exist on the number of times that other processes are allowed to enter their critical sections after a process has made a request to enter its critical section and before that request is granted
Assume that each process executes at a nonzero speed
No assumption concerning relative speed of the n processes
1) The document discusses synchronization techniques in operating systems, including semaphores invented by Dijkstra, which provide a way for processes to synchronize without busy waiting.
2) Semaphores use two operations - wait and signal - to synchronize access to shared resources. They can be implemented without busy waiting by blocking processes waiting on the semaphore.
3) Classical synchronization problems like the bounded buffer, readers-writers problem, and dining philosophers problem are presented and solutions using semaphores are described to avoid deadlock and starvation.
Semaphore = a synchronization primitive
higher level of abstraction than locks
invented by Dijkstra in 1968, as part of the THE operating system
A semaphore is:
a variable that is manipulated through two operations, P and V (Dutch for “test” and “increment”)
P(sem) (wait/down)
block until sem > 0, then subtract 1 from sem and proceed
V(sem) (signal/up)
add 1 to sem
Do these operations atomically
1) A semaphore consists of a counter, a waiting list, and wait() and signal() methods. Wait() decrements the counter and blocks if it becomes negative, while signal() increments the counter and resumes a blocked process if the counter becomes positive.
2) The dining philosophers problem is solved using semaphores to lock access to shared chopsticks, with one philosopher designated as a "weirdo" to avoid deadlock by acquiring locks in a different order.
3) The producer-consumer problem uses three semaphores - one to limit buffer size, one for empty slots, and one for locks - to coordinate producers adding to a bounded buffer
This document contains slides from a lecture on operating system concepts. It discusses topics like process synchronization, Peterson's solution to the critical section problem, synchronization hardware, semaphores, monitors, and atomic transactions. It provides examples of how these concepts can be used to solve problems like the bounded buffer problem and consumer-producer problem. The document contains 42 slides with code snippets and explanations of key synchronization concepts.
This document discusses semaphores and their use for synchronization between threads or processes. It defines semaphores as consisting of a positive integer value and atomic P() and V() operations that decrement and increment the value. Semaphores can be used for mutual exclusion by initializing a binary semaphore to 1 and having threads call P() before and V() after critical sections. Semaphores can also be used to synchronize producers and consumers in a bounded buffer problem, ensuring the consumer waits if the buffer is empty and the producer waits if the buffer is full. The document outlines implementations of semaphores using spinlocks or queues and the system calls used to manage semaphores in UNIX.
This document discusses semaphores and their use in solving critical section problems. It defines semaphores, describes their wait and signal methods, and types including counting and binary semaphores. It then explains how semaphores can be used to solve classical synchronization problems like the bounded buffer, readers-writers, and dining philosophers problems. Examples of semaphore implementations are provided for each problem.
This document discusses semaphores, which are integer variables that coordinate access to shared resources. It describes counting semaphores, which allow multiple processes to access a critical section simultaneously up to a set limit, and binary semaphores, which only permit one process at a time. Key differences are that counting semaphores can have any integer value while binary semaphores are limited to 0 or 1, and counting semaphores allow multiple slots while binary semaphores provide strict mutual exclusion. Limitations of semaphores include potential priority inversion issues and deadlocks if not used properly.
The document discusses process synchronization and deadlocks. It introduces race conditions, critical sections, and solutions to synchronize processes like semaphores. Classical problems like the dining philosophers problem and bridge crossing example are presented. Deadlocks are characterized by conditions like mutual exclusion, hold and wait, no preemption and circular wait. Methods to handle deadlocks include prevention through ordering of resource requests and avoidance using resource allocation states.
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.
The document discusses static timing analysis which is used to verify that logic circuits meet timing requirements. It analyzes different types of timing paths like pad-to-pad, pad-to-setup, clock-to-pad. Static timing analysis is preferred over dynamic analysis for verifying timings in large designs due to faster run times. An example shows calculating maximum frequency of operation by analyzing all path delays in a circuit.
The document summarizes the principles and evolution of reliable data transfer protocols. It begins with an overview of reliable data transfer and its importance. It then describes the initial RDT 1.0 protocol which assumes a perfectly reliable channel. It introduces RDT 2.0 which adds error detection, receiver feedback through ACKs/NAKs, and retransmissions to handle bit errors over unreliable channels. Subsequent versions add sequence numbers to prevent duplicate packets, evolve to using just ACKs, and introduce timers and retransmissions to handle packet losses. Finally, it overviews pipelined protocols like Go-Back-N which improve efficiency by allowing multiple outstanding packets.
This document describes an analysis of clock skew versus data skew in launch to capture flip-flop timing paths. It presents a case where the clock skew is greater than the clock period under worst case conditions, which could cause the circuit behavior to change over process variations even if timing analysis passes. A Verilog model and SDF files are provided as an example where the timing passes for best and worst case setup, but fails for worst case hold. The analysis shows the need to run timing for worst case minimum in addition to typical best/worst case setup checks.
The paper describes the basic of Timing analysis like setup time, hold time, delays in logic circuits, timing violations and different types of timing paths like flip-flop to flip-flop path, clock gating path, asynchronous signal path, half cycle path, flip-flop to output path, input to flip-flop path and input to output path.
This document discusses various techniques for process synchronization. It begins by defining process synchronization as coordinating access to shared resources between processes to maintain data consistency. It then discusses critical sections, where shared data is accessed, and solutions like Peterson's algorithm and semaphores to ensure only one process accesses the critical section at a time. Semaphores use wait and signal operations on a shared integer variable to synchronize processes. The document covers binary and counting semaphores and provides an example of their use.
Senthilkanth,MCA..
The following ppt's full topic covers Operating System for BSc CS, BCA, MSc CS, MCA students..
1.Introduction
2.OS Structures
3.Process
4.Threads
5.CPU Scheduling
6.Process Synchronization
7.Dead Locks
8.Memory Management
9.Virtual Memory
10.File system Interface
11.File system implementation
12.Mass Storage System
13.IO Systems
14.Protection
15.Security
16.Distributed System Structure
17.Distributed File System
18.Distributed Co Ordination
19.Real Time System
20.Multimedia Systems
21.Linux
22.Windows
This document presents a major project on hierarchical timing analysis of VLSI circuits. It includes an outline covering introduction, why timing analysis is needed, basics of timing analysis, static timing analysis, timing paths, hierarchical timing analysis applications, and conclusions. The introduction discusses using static timing analysis to ensure correct timing of clocks and signals. It also explains how hierarchical timing analysis can help alleviate large runtimes from flat analysis of growing design sizes. The document then covers various topics related to timing analysis including digital circuit to timing model conversions, static timing analysis concepts, different path types, and applications of hierarchical timing analysis.
The document discusses process synchronization and concurrency control techniques used to ensure orderly execution of cooperating processes. It describes solutions to classical synchronization problems like the bounded buffer problem, readers-writers problem, and dining philosophers problem using semaphores and monitors. Atomic transactions are achieved through techniques like write-ahead logging and checkpoints to assure failures do not compromise data consistency.
Operating System-Ch6 process synchronizationSyaiful Ahdan
This document discusses process synchronization and mechanisms for coordinating access to shared resources among concurrent processes. It covers topics like the critical section problem, solutions using synchronization hardware like test-and-set instructions, classical synchronization techniques like semaphores and monitors, and how synchronization is implemented in Solaris. The document provides examples of producer-consumer problems to illustrate the need for synchronization and analyzes early algorithms for solving the critical section problem with shared variables before introducing more sophisticated approaches like the bakery algorithm.
A brief introduction to Process synchronization in Operating Systems with classical examples and solutions using semaphores. A good starting tutorial for beginners.
The document discusses process synchronization and concurrency control techniques in operating systems, including classical problems like the bounded buffer problem, readers-writers problem, and dining philosophers problem. It covers synchronization primitives like semaphores, mutexes, and monitors that allow processes to synchronize access to shared resources and coordinate their activities to prevent race conditions and deadlocks. The key challenges of mutual exclusion, progress, and bounded waiting in solving the critical section problem are also summarized.
A Robust UART Architecture Based on Recursive Running Sum Filter for Better N...Kevin Mathew
This document describes a project to design a robust UART architecture using a recursive running sum filter for better noise performance. It discusses adding noise to communication channels to test noise performance. It then describes implementing a UART receiver using a recursive running sum filter to reduce noise while maintaining signal integrity. The UART design is tested on a Nexys3 Spartan-6 FPGA board in Xilinx ISE using VHDL. Simulation results at different noise levels show the filter is effective at reducing noise.
This document discusses kernel synchronization in Linux. It begins by outlining kernel control paths and when synchronization is necessary, such as to prevent race conditions when kernel control paths are interleaved. It then describes various synchronization primitives like spin locks, semaphores, and RCU. Examples are given of how these primitives can be used to synchronize access to kernel data structures. Interrupt-aware versions of synchronization primitives are also outlined. The document concludes with examples of how race conditions are prevented for specific data structures and operations in the kernel.
This document contains 50 questions related to operating systems. The questions cover a wide range of topics including operating system concepts, processes, scheduling, memory management, storage management, deadlocks, and file systems. Some key topics assessed include process scheduling algorithms, memory management techniques like paging and segmentation, disk scheduling, and file system organization and access methods.
This document discusses synchronization tools used to solve the critical section problem in operating systems. It begins with an overview and objectives, then describes the critical section problem and race conditions that can occur. It presents Peterson's solution and discusses how hardware support like mutex locks, semaphores, and monitors can provide synchronization. Memory barriers are introduced to address instruction reordering issues on modern architectures. The document evaluates different synchronization tools for low, moderate, and high contention scenarios.
1) A technique to refine at-speed launch and capture clock edge placement by applying several at-speed shift cycles before the launch.
2) Extension to LOS.
3) Once the scan chains are fully loaded, the controller shifts to the burst phase, in which the true functional clocks are applied. The scan chains are still left in the shift mode while the scan data rotates through the scan chains for a few cycles. Then a single capture cycle is applied and the data is shifted out.
The document discusses process synchronization and solutions to the critical section problem. It introduces the producer-consumer problem as an example that requires synchronization. The critical section problem aims to ensure that only one process at a time can be executing shared code or accessing shared data. Peterson's algorithm provides a solution for two processes using shared variables. Hardware synchronization methods like mutex locks and semaphores provide atomic primitives to synchronize processes. Semaphores use wait() and signal() operations to control access to shared resources without busy waiting.
OS Process Synchronization, semaphore and Monitorssgpraju
The document summarizes key concepts in process synchronization and concurrency control, including:
1) Process synchronization techniques like semaphores, monitors, and atomic transactions that ensure orderly access to shared resources. Semaphores use wait() and signal() operations while monitors provide mutual exclusion through condition variables.
2) Concurrency control algorithms like locking and two-phase locking that ensure serializability of concurrent transactions accessing a database. Locking associates locks with data items to control concurrent access.
3) Challenges in concurrency control like deadlocks, priority inversion, and starvation that synchronization mechanisms aim to prevent. Log-based recovery with write-ahead logging and checkpoints is used to ensure atomicity of transactions in
This document discusses and compares different hardware data prefetching mechanisms and their impact on performance. It covers four main types of prefetching techniques: stream buffer, stride prefetchers based on program counter or cache block address, and locality-based prefetchers. For each technique, it describes the basic algorithm, hardware requirements, advantages and disadvantages. It provides detailed explanations of how stream buffers, stride prefetchers using a reference prediction table, and address-based stride prediction work. It also outlines the design of a locality-based stream prefetcher that dynamically adjusts prefetch degree and distance based on feedback.
The document discusses process synchronization and deadlocks. It introduces race conditions, critical sections, and solutions to synchronize processes like semaphores. Classical problems like the dining philosophers problem and bridge crossing example are presented. Deadlocks are characterized by conditions like mutual exclusion, hold and wait, no preemption and circular wait. Methods to handle deadlocks include prevention through ordering of resource requests and avoidance using resource allocation states.
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.
The document discusses static timing analysis which is used to verify that logic circuits meet timing requirements. It analyzes different types of timing paths like pad-to-pad, pad-to-setup, clock-to-pad. Static timing analysis is preferred over dynamic analysis for verifying timings in large designs due to faster run times. An example shows calculating maximum frequency of operation by analyzing all path delays in a circuit.
The document summarizes the principles and evolution of reliable data transfer protocols. It begins with an overview of reliable data transfer and its importance. It then describes the initial RDT 1.0 protocol which assumes a perfectly reliable channel. It introduces RDT 2.0 which adds error detection, receiver feedback through ACKs/NAKs, and retransmissions to handle bit errors over unreliable channels. Subsequent versions add sequence numbers to prevent duplicate packets, evolve to using just ACKs, and introduce timers and retransmissions to handle packet losses. Finally, it overviews pipelined protocols like Go-Back-N which improve efficiency by allowing multiple outstanding packets.
This document describes an analysis of clock skew versus data skew in launch to capture flip-flop timing paths. It presents a case where the clock skew is greater than the clock period under worst case conditions, which could cause the circuit behavior to change over process variations even if timing analysis passes. A Verilog model and SDF files are provided as an example where the timing passes for best and worst case setup, but fails for worst case hold. The analysis shows the need to run timing for worst case minimum in addition to typical best/worst case setup checks.
The paper describes the basic of Timing analysis like setup time, hold time, delays in logic circuits, timing violations and different types of timing paths like flip-flop to flip-flop path, clock gating path, asynchronous signal path, half cycle path, flip-flop to output path, input to flip-flop path and input to output path.
This document discusses various techniques for process synchronization. It begins by defining process synchronization as coordinating access to shared resources between processes to maintain data consistency. It then discusses critical sections, where shared data is accessed, and solutions like Peterson's algorithm and semaphores to ensure only one process accesses the critical section at a time. Semaphores use wait and signal operations on a shared integer variable to synchronize processes. The document covers binary and counting semaphores and provides an example of their use.
Senthilkanth,MCA..
The following ppt's full topic covers Operating System for BSc CS, BCA, MSc CS, MCA students..
1.Introduction
2.OS Structures
3.Process
4.Threads
5.CPU Scheduling
6.Process Synchronization
7.Dead Locks
8.Memory Management
9.Virtual Memory
10.File system Interface
11.File system implementation
12.Mass Storage System
13.IO Systems
14.Protection
15.Security
16.Distributed System Structure
17.Distributed File System
18.Distributed Co Ordination
19.Real Time System
20.Multimedia Systems
21.Linux
22.Windows
This document presents a major project on hierarchical timing analysis of VLSI circuits. It includes an outline covering introduction, why timing analysis is needed, basics of timing analysis, static timing analysis, timing paths, hierarchical timing analysis applications, and conclusions. The introduction discusses using static timing analysis to ensure correct timing of clocks and signals. It also explains how hierarchical timing analysis can help alleviate large runtimes from flat analysis of growing design sizes. The document then covers various topics related to timing analysis including digital circuit to timing model conversions, static timing analysis concepts, different path types, and applications of hierarchical timing analysis.
The document discusses process synchronization and concurrency control techniques used to ensure orderly execution of cooperating processes. It describes solutions to classical synchronization problems like the bounded buffer problem, readers-writers problem, and dining philosophers problem using semaphores and monitors. Atomic transactions are achieved through techniques like write-ahead logging and checkpoints to assure failures do not compromise data consistency.
Operating System-Ch6 process synchronizationSyaiful Ahdan
This document discusses process synchronization and mechanisms for coordinating access to shared resources among concurrent processes. It covers topics like the critical section problem, solutions using synchronization hardware like test-and-set instructions, classical synchronization techniques like semaphores and monitors, and how synchronization is implemented in Solaris. The document provides examples of producer-consumer problems to illustrate the need for synchronization and analyzes early algorithms for solving the critical section problem with shared variables before introducing more sophisticated approaches like the bakery algorithm.
A brief introduction to Process synchronization in Operating Systems with classical examples and solutions using semaphores. A good starting tutorial for beginners.
The document discusses process synchronization and concurrency control techniques in operating systems, including classical problems like the bounded buffer problem, readers-writers problem, and dining philosophers problem. It covers synchronization primitives like semaphores, mutexes, and monitors that allow processes to synchronize access to shared resources and coordinate their activities to prevent race conditions and deadlocks. The key challenges of mutual exclusion, progress, and bounded waiting in solving the critical section problem are also summarized.
A Robust UART Architecture Based on Recursive Running Sum Filter for Better N...Kevin Mathew
This document describes a project to design a robust UART architecture using a recursive running sum filter for better noise performance. It discusses adding noise to communication channels to test noise performance. It then describes implementing a UART receiver using a recursive running sum filter to reduce noise while maintaining signal integrity. The UART design is tested on a Nexys3 Spartan-6 FPGA board in Xilinx ISE using VHDL. Simulation results at different noise levels show the filter is effective at reducing noise.
This document discusses kernel synchronization in Linux. It begins by outlining kernel control paths and when synchronization is necessary, such as to prevent race conditions when kernel control paths are interleaved. It then describes various synchronization primitives like spin locks, semaphores, and RCU. Examples are given of how these primitives can be used to synchronize access to kernel data structures. Interrupt-aware versions of synchronization primitives are also outlined. The document concludes with examples of how race conditions are prevented for specific data structures and operations in the kernel.
This document contains 50 questions related to operating systems. The questions cover a wide range of topics including operating system concepts, processes, scheduling, memory management, storage management, deadlocks, and file systems. Some key topics assessed include process scheduling algorithms, memory management techniques like paging and segmentation, disk scheduling, and file system organization and access methods.
This document discusses synchronization tools used to solve the critical section problem in operating systems. It begins with an overview and objectives, then describes the critical section problem and race conditions that can occur. It presents Peterson's solution and discusses how hardware support like mutex locks, semaphores, and monitors can provide synchronization. Memory barriers are introduced to address instruction reordering issues on modern architectures. The document evaluates different synchronization tools for low, moderate, and high contention scenarios.
1) A technique to refine at-speed launch and capture clock edge placement by applying several at-speed shift cycles before the launch.
2) Extension to LOS.
3) Once the scan chains are fully loaded, the controller shifts to the burst phase, in which the true functional clocks are applied. The scan chains are still left in the shift mode while the scan data rotates through the scan chains for a few cycles. Then a single capture cycle is applied and the data is shifted out.
The document discusses process synchronization and solutions to the critical section problem. It introduces the producer-consumer problem as an example that requires synchronization. The critical section problem aims to ensure that only one process at a time can be executing shared code or accessing shared data. Peterson's algorithm provides a solution for two processes using shared variables. Hardware synchronization methods like mutex locks and semaphores provide atomic primitives to synchronize processes. Semaphores use wait() and signal() operations to control access to shared resources without busy waiting.
OS Process Synchronization, semaphore and Monitorssgpraju
The document summarizes key concepts in process synchronization and concurrency control, including:
1) Process synchronization techniques like semaphores, monitors, and atomic transactions that ensure orderly access to shared resources. Semaphores use wait() and signal() operations while monitors provide mutual exclusion through condition variables.
2) Concurrency control algorithms like locking and two-phase locking that ensure serializability of concurrent transactions accessing a database. Locking associates locks with data items to control concurrent access.
3) Challenges in concurrency control like deadlocks, priority inversion, and starvation that synchronization mechanisms aim to prevent. Log-based recovery with write-ahead logging and checkpoints is used to ensure atomicity of transactions in
This document discusses and compares different hardware data prefetching mechanisms and their impact on performance. It covers four main types of prefetching techniques: stream buffer, stride prefetchers based on program counter or cache block address, and locality-based prefetchers. For each technique, it describes the basic algorithm, hardware requirements, advantages and disadvantages. It provides detailed explanations of how stream buffers, stride prefetchers using a reference prediction table, and address-based stride prediction work. It also outlines the design of a locality-based stream prefetcher that dynamically adjusts prefetch degree and distance based on feedback.
Here are some useful GDB commands for debugging:
- break <function> - Set a breakpoint at a function
- break <file:line> - Set a breakpoint at a line in a file
- run - Start program execution
- next/n - Step over to next line, stepping over function calls
- step/s - Step into function calls
- finish - Step out of current function
- print/p <variable> - Print value of a variable
- backtrace/bt - Print the call stack
- info breakpoints/ib - List breakpoints
- delete <breakpoint#> - Delete a breakpoint
- layout src - Switch layout to source code view
- layout asm - Switch layout
This document provides an overview and interpretation of the Automatic Workload Repository (AWR) report in Oracle database. Some key points:
- AWR collects snapshots of database metrics and performance data every 60 minutes by default and retains them for 7 days. This data is used by tools like ADDM for self-management and diagnosing issues.
- The top timed waits in the AWR report usually indicate where to focus tuning efforts. Common waits include I/O waits, buffer busy waits, and enqueue waits.
- Other useful AWR metrics include parse/execute ratios, wait event distributions, and top activities to identify bottlenecks like parsing overhead, locking issues, or inefficient SQL.
Troubleshooting Complex Oracle Performance Problems with Tanel PoderTanel Poder
The document describes troubleshooting a performance issue involving parallel data loads into a data warehouse. It is determined that the slowness is due to recursive locking and buffer busy waits occurring during inserts into the SEG$ table as new segments are created by parallel CREATE TABLE AS SELECT statements. This is causing a nested locking ping-pong effect between the cache, transaction, and I/O layers as sessions repeatedly acquire and release locks and buffers.
RAR (Read After Read) is not considered a data hazard because it does not change the order of memory accesses or introduce incorrect results. Multiple instructions can safely read the same register without interfering with each other. The three types of data hazards that can occur are RAW (Read After Write), WAR (Write After Read), and WAW (Write After Write) which all involve write operations that could potentially overwrite data before it is read.
These days fast code needs to operate in harmony with its environment. At the deepest level this means working well with hardware: RAM, disks and SSDs. A unifying theme is treating memory access patterns in a uniform and predictable that is sympathetic to the underlying hardware. For example writing to and reading from RAM and Hard Disks can be significantly sped up by operating sequentially on the device, rather than randomly accessing the data.
In this talk we’ll cover why access patterns are important, what kind of speed gain you can get and how you can write simple high level code which works well with these kind of patterns.
Building real time Data Pipeline using Spark Streamingdatamantra
This document summarizes the key challenges and solutions in building a real-time data pipeline that ingests data from a database, transforms it using Spark Streaming, and publishes the output to Salesforce. The pipeline aims to have a latency of 1 minute with zero data loss and ordering guarantees. Some challenges discussed include handling out of sequence and late arrival events, schema evolution, bootstrap loading, data loss/corruption, and diagnosing issues. Solutions proposed use Kafka, checkpointing, replay capabilities, and careful broker/connect setups to help meet the reliability requirements for the pipeline.
This document discusses different types of instruction hazards in pipelines including structural hazards, data hazards, and control hazards. It focuses on control hazards caused by branches, where the destination of the branch is unknown until it is evaluated. To resolve this, it discusses different branch prediction strategies like stalling, deciding the branch in the ID stage, delayed branches using compiler reordering, and branch prediction. Branch prediction involves using a branch history table (BHT) to predict if the branch will be taken or not based on its past behavior. The document provides statistics on typical branch behavior and analyzes the accuracy of 1-bit branch prediction. It also discusses scheduling instructions into the delay slot of delayed branches.
The document discusses Bluespec, a hardware description language that combines features of Haskell and SystemVerilog assertions (SVA). Bluespec models all state explicitly using guarded atomic actions on state. Behavior is expressed as rules with guards and actions. Assertions in Bluespec are compiled into finite state machines and checked concurrently as rules. The document provides an example of using Bluespec to write functional and performance assertions for a cache controller design.
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These days fast code needs to operate in harmony with its environment. At the deepest level this means working well with hardware: RAM, disks and SSDs. A unifying theme is treating memory access patterns in a uniform and predictable way that is sympathetic to the underlying hardware. For example writing to and reading from RAM and Hard Disks can be significantly sped up by operating sequentially on the device, rather than randomly accessing the data. In this talk we’ll cover why access patterns are important, what kind of speed gain you can get and how you can write simple high level code which works well with these kind of patterns.
Performance and Predictability - Richard WarburtonJAXLondon2014
This document discusses various low-level performance optimizations related to branch prediction, memory access, storage, and conclusions. It explains that branches can cause stalls, caches help mitigate slow memory access, and sequential access patterns outperform random access. The key themes are optimizing for predictability over randomness and prioritizing principles over specific tools.
The document summarizes key concepts related to process synchronization. It introduces the critical section problem where processes need coordinated access to shared resources. Several classic solutions are described, including Peterson's algorithm and using semaphores. Mutex locks and their implementation using atomic hardware instructions like test-and-set are also covered. The concepts of deadlock and starvation that can occur without proper synchronization are briefly mentioned at the end.
This document discusses coding style guidelines for logic synthesis. It begins with basic concepts of logic synthesis such as converting a high-level design to a gate-level representation using a standard cell library. It then discusses synthesizable Verilog constructs and coding techniques to improve synthesis like using non-blocking assignments in sequential logic blocks. The document also provides guidelines for coding constructs like if-else statements, case statements, always blocks and loops to make the design easily synthesizable. Memory synthesis approaches and techniques for designing clocks and resets are also covered.
The document discusses several new features and enhancements in Oracle Database 11g Release 1. Key points include:
1) Encrypted tablespaces allow full encryption of data while maintaining functionality like indexing and foreign keys.
2) New caching capabilities improve performance by caching more results and metadata to avoid repeat work.
3) Standby databases have been enhanced and can now be used for more active purposes like development, testing, reporting and backups while still providing zero data loss protection.
The document discusses new features in Oracle Database 11g Release 1. Key points include:
1. Encrypted tablespaces allow encryption of data at the tablespace level while still supporting indexing and queries.
2. New caching capabilities improve performance by caching more results in memory, such as function results and query results.
3. Standby databases have enhanced capabilities and can now be used for more active purposes like development, testing and reporting for increased usability and value.
This document discusses hardware and software solutions for critical section problems in multiprocessing systems. It introduces the TestAndSet instruction, which atomically sets a variable to true and returns its previous value. This can be used to implement mutual exclusion. Semaphores are also introduced as another synchronization primitive, with binary semaphores functioning similarly to mutex locks. Implementations of semaphores are discussed where processes block rather than busy wait, avoiding wasted CPU cycles. Deadlock and starvation scenarios are briefly described.
The document describes several hardware-based data prefetching schemes that aim to reduce memory stalls by prefetching data into caches before it is needed by a program. It introduces fixed offset prefetching, stride-based prefetching, and tag correlated prefetching. It then discusses the simulation setup used to evaluate these schemes and presents results on their performance in terms of CPI, cache hit rate, and average memory access time. The tag correlated prefetching scheme achieved the best overall performance but at the cost of higher hardware complexity compared to the other schemes.
This document discusses several minor technical issues and proposed solutions in ATS:
1. Thread initialization is done unsafely by starting threads and later updating data structures, which is risky. The proposal is to use continuations to initialize threads safely during startup.
2. Continuation tracking is added to identify the origin of continuations for debugging. A "plugin context" tracks the originating plugin to tag continuations.
3. std::chrono is proposed to replace custom time handling in ATS. It provides type-safe time durations and timepoints without loss of precision during conversions.
4. Other active projects include partial object caching, event loop improvements, plugin priorities, making assertions no-ops in
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
13. SST logic Wakeup Behind Thread DQ Full? DQ Empty for current & spec ckpt? L1 Miss Set ‘ S ’ bit in Cache Start Behind thread in wait mode to handle Defers Start Executing Main thread Speculatively ahead Behind Thread Runs Thru DQ for Active Checkpoint Done Ahead Thread • Normal Mode Behind Thread • Pause L1 Resolved Ahead Thread • Scout Mode Behind Thread • Pause High Level SW initiates a Memory Transaction Restore Checkpoint Tx Fail ‘ S ’ bit Detect Mem Order Violation Br Mispredict Exception WAIT Begin SST Episode Arch Checkpoint Active • Architectural Inactive • Speculative Instr has Data Dependencies? Execute Instr and Retire OO Enqueue DQ with Instr & All Resolved Opr Instr has no Data Dependencies? WAIT more data expected Speculation Successful Program Execution resumes were speculation finished
14. SST scheduling Program Order LDX addr1, %r1 ADD %r1, 0x04, %r2 STX %r2, addr2 SETHI 0x01, %r2 STX %r2, addr3 etc.. ; Ahead-Thread 1 LDX addr1, %r1 ; Load Miss on addr1, Defer and set R1 [ NT ]) To Defer Q ; Checkpoint Start Ahead-Thread, Behind-Thread Waits for data read 2 ADD %r1, 0x04, %r2 ; Source Operand has NT bit set Defer and set R2 [NT] To Defer Q 3 STX %r2, addr2 ; Source Operand has NT bit set Defer) To Defer Q 4 SETHI 0x01, %r2 ; Ahead Thread Executes Independently) 5 STX %r2, addr3 ; Ahead Thread Executes Independently & continues speculative execution of more program instructions ; Load Miss resolves start Behind-Thread 6 ADD %r1, 0x04, %r2 [NT=0,SNT=1] ; NT was reset at 4, set waw bit 7 STX %r2, addr3 SST Order LDX addr1, %r1 ADD %r1, 0x04, %r2 STX %r2, addr2 SETHI 0x01, %r2 STX %r2, addr3 etc.. Deferring data-dependent instructions prevents RAW – here %r2 was read at 3 but written before at 2 Saving operands in DQ prevents WAR as any valid data in register at that time is captured and saved for Behind-Thread to use later regardless of future writes by Ahead-Thread Registers with WAW bit not committed to Architectural state – here %r2 was written at 4 & 6 ;Deferred Queue LDX addr1, %r1 [ NT ] ADD %r1 [ NT ], 0x04, %r2 [ NT ] STX %r2 [ NT ] , addr2 WAW WAR RAW