This document provides an overview of CPU, GPU, and TPU architectures for artificial intelligence. It discusses the historical context of the Harvard and von Neumann architectures. It describes key aspects of CPU architecture including CISC/RISC designs. GPU architecture is summarized as being well-suited for data parallelism. The document outlines the TPU architecture including its block diagram and use of matrix operations. Finally, it presents some next technological steps such as analog processors and distributed inference.
C for Cuda - Small Introduction to GPU computingIPALab
In this talk, we are presenting a short introduction to CUDA and GPU computing to help anyone who reads it to get started with this technology.
At first, we are introducing the GPU from the hardware point of view: what is it? How is it built? Why use it for General Purposes (GPGPU)? How does it differ from the CPU?
The second part of the presentation is dealing with the software abstraction and the use of CUDA to implement parallel computing. The software architecture, the kernels and the different types of memories are tackled in this part.
Finally, and to illustrate what has been presented previously, examples of codes are given. These examples are also highlighting the issues that may occur while using parallel-computing.
This document discusses multiple processor systems including multiprocessors, multicomputers, and distributed systems. It covers topics such as multiprocessor hardware architectures, operating systems, scheduling, synchronization, and communication in these systems. It also discusses distributed system middleware including document-based systems like the web, file system-based systems like AFS, shared object systems like CORBA and Globe, and coordination-based systems like Linda and Jini.
The document discusses the Tilera TILE64 processor. It has 64 programmable cores arranged in a grid and connected via a mesh network. Each core has its own cache and can run its own operating system. The TILE64 uses a tapered fat tree topology to connect cores and memory in a scalable way. It supports distributed shared caching and directory-based cache coherence. Its applications include networking, video processing, and cloud computing.
This is my summary of Cousera 2014's Heterogeneous Parallel Programming Week 1
The first week introduce the need of HPP, organization of CUDA programming, and basic CUDA program.
This document discusses various types and implementations of parallel architectures. It covers parallelism concepts like data, thread, and instruction level parallelism. It also describes Flynn's taxonomy of parallel systems and different parallel machine designs like SIMD, vector, VLIW, and MIMD architectures. Specific examples of parallel supercomputers are provided like Cray, Connection Machine, and SGI Origin. Challenges in parallel programming and portability are also summarized.
This document provides an overview of CPU, GPU, and TPU architectures for artificial intelligence. It discusses the historical context of the Harvard and von Neumann architectures. It describes key aspects of CPU architecture including CISC/RISC designs. GPU architecture is summarized as being well-suited for data parallelism. The document outlines the TPU architecture including its block diagram and use of matrix operations. Finally, it presents some next technological steps such as analog processors and distributed inference.
C for Cuda - Small Introduction to GPU computingIPALab
In this talk, we are presenting a short introduction to CUDA and GPU computing to help anyone who reads it to get started with this technology.
At first, we are introducing the GPU from the hardware point of view: what is it? How is it built? Why use it for General Purposes (GPGPU)? How does it differ from the CPU?
The second part of the presentation is dealing with the software abstraction and the use of CUDA to implement parallel computing. The software architecture, the kernels and the different types of memories are tackled in this part.
Finally, and to illustrate what has been presented previously, examples of codes are given. These examples are also highlighting the issues that may occur while using parallel-computing.
This document discusses multiple processor systems including multiprocessors, multicomputers, and distributed systems. It covers topics such as multiprocessor hardware architectures, operating systems, scheduling, synchronization, and communication in these systems. It also discusses distributed system middleware including document-based systems like the web, file system-based systems like AFS, shared object systems like CORBA and Globe, and coordination-based systems like Linda and Jini.
The document discusses the Tilera TILE64 processor. It has 64 programmable cores arranged in a grid and connected via a mesh network. Each core has its own cache and can run its own operating system. The TILE64 uses a tapered fat tree topology to connect cores and memory in a scalable way. It supports distributed shared caching and directory-based cache coherence. Its applications include networking, video processing, and cloud computing.
This is my summary of Cousera 2014's Heterogeneous Parallel Programming Week 1
The first week introduce the need of HPP, organization of CUDA programming, and basic CUDA program.
This document discusses various types and implementations of parallel architectures. It covers parallelism concepts like data, thread, and instruction level parallelism. It also describes Flynn's taxonomy of parallel systems and different parallel machine designs like SIMD, vector, VLIW, and MIMD architectures. Specific examples of parallel supercomputers are provided like Cray, Connection Machine, and SGI Origin. Challenges in parallel programming and portability are also summarized.
This webinar by Andriy Petlovanyy (Senior Solution Architect, Consultant, GlobalLogic) was delivered at Embedded Community Webinar #5 on October 8, 2020.
This report focuses on the use of the Memory Protection Unit (MPU) in the Cortex M series of microcontrollers. We have considered the different uses of this tool, including the strengths and weaknesses of each of the proposed approaches. Participants briefly looked at the use of MPU in various real-time operating systems (Real-Time Operating System, RTOS). The speaker shared the results of research and interesting observations in this area.
More details and presentation: https://www.globallogic.com/ua/about/events/embedded-community-webinar-5/
The document discusses different types of parallel computer architectures, including shared-memory multiprocessors. It describes taxonomy of parallel computers including SISD, SIMD, MISD, and MIMD models. For shared-memory multiprocessors, it outlines consistency models including strict, sequential, processor, weak and release consistency. It also discusses UMA and NUMA architectures, cache coherence protocols like MESI, and examples of multiprocessors using crossbar switches or multistage networks.
The document provides an introduction to GPU programming using CUDA. It outlines GPU and CPU architectures, the CUDA programming model involving threads, blocks and grids, and CUDA C language extensions. It also discusses compilation with NVCC, memory hierarchies, profiling code with Valgrind/Callgrind, and Amdahl's law in the context of parallelization. A simple CUDA program example is provided to demonstrate basic concepts like kernel launches and data transfers between host and device memory.
This document discusses multiple processor systems including shared-memory multiprocessors, message-passing multicomputers, and wide area distributed systems. It describes different multiprocessor architectures like UMA and NUMA and challenges like heat dissipation. It also covers topics like multiprocessing operating systems, synchronization, scheduling, and communication in multicomputer systems.
The document discusses various aspects of computer memory systems including main memory, cache memory, and memory mapping techniques. It provides details on:
1) Main memory stores program and data during execution and consists of addressable memory cells. Memory access time is the time for a memory operation while cycle time is the minimum delay between operations.
2) Memory units include RAM, ROM, PROM, EPROM, EEPROM and flash memory which have different characteristics like volatility and ability to be written.
3) Cache memory uses fast SRAM to improve performance by taking advantage of locality of reference where nearby memory accesses are common. Mapping techniques like direct, associative and set-associative mapping determine how
Talk given on state of NUMA with Java databases such as Cassandra and how it can improved / ameliorated, and compared with traditional storage engines.
- Memory addressing refers to how operands are provided to instructions in memory. There are two types: non-memory addressing which uses predefined data or registers, and memory addressing which accesses data in memory.
- x86 processors use memory segmentation to divide memory into segments identified by segment registers and an offset. Real mode uses 16-bit segments while protected mode supports virtual memory and memory protection.
- x86 has various addressing modes like register, immediate, direct, register indirect, based, indexed, and based indexed addressing to access memory in different ways. These influence performance depending on whether memory is accessed.
The Pentium III was a desktop and mobile CPU produced by Intel between 1999-2003. It had clock speeds between 400 MHz to 1.4 GHz and included features like MMX and SSE instructions. There were several stepping of the Pentium III including Katmai at 0.25 μm, Coppermine at 0.18 μm, Coppermine T at 0.18 μm, and Tualatin at 0.13 μm. Each stepping improved performance through higher clock speeds, larger caches, and support for newer instruction sets. Optimizing code for the Pentium III microarchitecture required techniques like scheduling instructions to maximize decoder throughput, balancing usage of execution units, and minimizing register dependencies. The Pentium III was also notable for including
The document discusses virtual machines and how they provide an abstraction layer between software and hardware by extending the underlying machine and providing interfaces at different levels including the instruction set, application binary interface, and application programming interface. It also examines different types of virtual machines like the Java virtual machine, operating system virtual machines, and virtual machine monitors and how they provide benefits like portability, security, and server consolidation.
This document discusses multiprocessor and multicomputer systems. It defines a multiprocessor system as having more than one processor that shares common memory, while a multicomputer has more than one processor each with local memory. Processors may be closely coupled on a shared bus or loosely coupled distributed on a network. The document also covers Flynn's taxonomy of computer architectures and examples of single instruction single data stream (SISD), single instruction multiple data stream (SIMD), multiple instruction single data stream (MISD), and multiple instruction multiple data stream (MIMD) systems.
This document discusses different types of multiple processor systems including multiprocessors, multicomputers, and distributed systems. It covers topics such as multiprocessor hardware architectures, operating systems, scheduling, communication software, remote procedure calls, distributed shared memory, and middleware for coordination between distributed systems.
Multiprocessor Architecture for Image Processingmayank.grd
The document discusses the design of a soft core multiprocessor architecture on an FPGA to implement an adaptive background mixture model algorithm for motion segmentation in images. The goals are to learn FPGA design, leverage parallelism for real-time processing, and use a multiprocessor approach to process different image regions simultaneously. Each processor will perform the algorithm on a sub-region of the image in parallel. They will communicate via shared external memory and FIFO-based links. The proposed architecture includes multiple MicroBlaze processors connected in an array topology to process images from a video camera in real-time.
Audio Version available in YouTube Link : https://www.youtube.com/AKSHARAM?sub_confirmation=1
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Microarchitecture refers to how an instruction set architecture is implemented in a processor. It focuses on aspects like chip area, power consumption, and complexity. Nehalem was Intel's latest microarchitecture at the time, featuring an integrated memory controller, QuickPath interconnect, and improvements in performance and power efficiency over previous architectures. Its successors included Westmere, Sandy Bridge, and Haswell.
In this presentation, you will learn the fundamentals of Multi Processors and Multi Computers in only a few minutes.
Meanings, features, attributes, applications, and examples of multiprocessors and multi computers.
So, let's get started. If you enjoy this and find the information beneficial, please like and share it with your friends.
This presentation discussed the Pentium Processor Family as requirement of the Micro-controller Course in Technological University of the Philippines. It covers the history of Pentium family of processors, list of Intel processors, features of the processors, architecture, modes, pipeline and trends.
This document discusses multiple processor systems including multiprocessors, multicomputers, and distributed systems. It covers topics such as multiprocessor hardware architectures, operating systems, scheduling, synchronization, and communication in these systems. It also discusses distributed systems and various middleware approaches for coordination between processes in distributed environments like document-based, file system-based, shared object-based, and coordination-based middleware.
Multicore processor by Ankit Raj and Akash PrajapatiAnkit Raj
A multi-core processor is a single computing component with two or more independent processing units called cores. This development arose in response to the limitations of increasing clock speeds in single-core processors. By incorporating multiple cores that can execute multiple tasks simultaneously, multi-core processors provide greater performance with less heat and power consumption than single-core processors. Programming for multi-core requires spreading workloads across cores using threads or processes to take advantage of the parallel processing capabilities.
Electronics product design companies in bangaloreAshok Kumar.k
DNCL Technologies Electronic design service and embedded system development ,PCB design, CPLD design & FPGA design and manufacturing service.
DNCL Technologies offers custom electronic design,embedded system design product development and pcb design,FPGA based design & CPLD design,Fireware & device drivers development, RTOS –Vxworks,Kernal programming ,Application Development and android development .
we design all types of electronic circuit or producting according to custom specification at affordable costs while maintaining highest quality product. contact us for your custom electronic product development and manufacturing.
The TMS320C5x DSP architecture is based on the C25 with some enhancements. It uses a Harvard architecture with separate program and data memory buses. The CPU contains a CALU for arithmetic, PLU for logic, and ARAU for address calculations. On-chip memory includes ROM, DARAM, and SARAM. Peripherals include serial ports, timers, interrupts, and I/O. The architecture provides high performance with low power consumption and compatibility with prior C series DSPs.
This webinar by Andriy Petlovanyy (Senior Solution Architect, Consultant, GlobalLogic) was delivered at Embedded Community Webinar #5 on October 8, 2020.
This report focuses on the use of the Memory Protection Unit (MPU) in the Cortex M series of microcontrollers. We have considered the different uses of this tool, including the strengths and weaknesses of each of the proposed approaches. Participants briefly looked at the use of MPU in various real-time operating systems (Real-Time Operating System, RTOS). The speaker shared the results of research and interesting observations in this area.
More details and presentation: https://www.globallogic.com/ua/about/events/embedded-community-webinar-5/
The document discusses different types of parallel computer architectures, including shared-memory multiprocessors. It describes taxonomy of parallel computers including SISD, SIMD, MISD, and MIMD models. For shared-memory multiprocessors, it outlines consistency models including strict, sequential, processor, weak and release consistency. It also discusses UMA and NUMA architectures, cache coherence protocols like MESI, and examples of multiprocessors using crossbar switches or multistage networks.
The document provides an introduction to GPU programming using CUDA. It outlines GPU and CPU architectures, the CUDA programming model involving threads, blocks and grids, and CUDA C language extensions. It also discusses compilation with NVCC, memory hierarchies, profiling code with Valgrind/Callgrind, and Amdahl's law in the context of parallelization. A simple CUDA program example is provided to demonstrate basic concepts like kernel launches and data transfers between host and device memory.
This document discusses multiple processor systems including shared-memory multiprocessors, message-passing multicomputers, and wide area distributed systems. It describes different multiprocessor architectures like UMA and NUMA and challenges like heat dissipation. It also covers topics like multiprocessing operating systems, synchronization, scheduling, and communication in multicomputer systems.
The document discusses various aspects of computer memory systems including main memory, cache memory, and memory mapping techniques. It provides details on:
1) Main memory stores program and data during execution and consists of addressable memory cells. Memory access time is the time for a memory operation while cycle time is the minimum delay between operations.
2) Memory units include RAM, ROM, PROM, EPROM, EEPROM and flash memory which have different characteristics like volatility and ability to be written.
3) Cache memory uses fast SRAM to improve performance by taking advantage of locality of reference where nearby memory accesses are common. Mapping techniques like direct, associative and set-associative mapping determine how
Talk given on state of NUMA with Java databases such as Cassandra and how it can improved / ameliorated, and compared with traditional storage engines.
- Memory addressing refers to how operands are provided to instructions in memory. There are two types: non-memory addressing which uses predefined data or registers, and memory addressing which accesses data in memory.
- x86 processors use memory segmentation to divide memory into segments identified by segment registers and an offset. Real mode uses 16-bit segments while protected mode supports virtual memory and memory protection.
- x86 has various addressing modes like register, immediate, direct, register indirect, based, indexed, and based indexed addressing to access memory in different ways. These influence performance depending on whether memory is accessed.
The Pentium III was a desktop and mobile CPU produced by Intel between 1999-2003. It had clock speeds between 400 MHz to 1.4 GHz and included features like MMX and SSE instructions. There were several stepping of the Pentium III including Katmai at 0.25 μm, Coppermine at 0.18 μm, Coppermine T at 0.18 μm, and Tualatin at 0.13 μm. Each stepping improved performance through higher clock speeds, larger caches, and support for newer instruction sets. Optimizing code for the Pentium III microarchitecture required techniques like scheduling instructions to maximize decoder throughput, balancing usage of execution units, and minimizing register dependencies. The Pentium III was also notable for including
The document discusses virtual machines and how they provide an abstraction layer between software and hardware by extending the underlying machine and providing interfaces at different levels including the instruction set, application binary interface, and application programming interface. It also examines different types of virtual machines like the Java virtual machine, operating system virtual machines, and virtual machine monitors and how they provide benefits like portability, security, and server consolidation.
This document discusses multiprocessor and multicomputer systems. It defines a multiprocessor system as having more than one processor that shares common memory, while a multicomputer has more than one processor each with local memory. Processors may be closely coupled on a shared bus or loosely coupled distributed on a network. The document also covers Flynn's taxonomy of computer architectures and examples of single instruction single data stream (SISD), single instruction multiple data stream (SIMD), multiple instruction single data stream (MISD), and multiple instruction multiple data stream (MIMD) systems.
This document discusses different types of multiple processor systems including multiprocessors, multicomputers, and distributed systems. It covers topics such as multiprocessor hardware architectures, operating systems, scheduling, communication software, remote procedure calls, distributed shared memory, and middleware for coordination between distributed systems.
Multiprocessor Architecture for Image Processingmayank.grd
The document discusses the design of a soft core multiprocessor architecture on an FPGA to implement an adaptive background mixture model algorithm for motion segmentation in images. The goals are to learn FPGA design, leverage parallelism for real-time processing, and use a multiprocessor approach to process different image regions simultaneously. Each processor will perform the algorithm on a sub-region of the image in parallel. They will communicate via shared external memory and FIFO-based links. The proposed architecture includes multiple MicroBlaze processors connected in an array topology to process images from a video camera in real-time.
Audio Version available in YouTube Link : https://www.youtube.com/AKSHARAM?sub_confirmation=1
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Microarchitecture refers to how an instruction set architecture is implemented in a processor. It focuses on aspects like chip area, power consumption, and complexity. Nehalem was Intel's latest microarchitecture at the time, featuring an integrated memory controller, QuickPath interconnect, and improvements in performance and power efficiency over previous architectures. Its successors included Westmere, Sandy Bridge, and Haswell.
In this presentation, you will learn the fundamentals of Multi Processors and Multi Computers in only a few minutes.
Meanings, features, attributes, applications, and examples of multiprocessors and multi computers.
So, let's get started. If you enjoy this and find the information beneficial, please like and share it with your friends.
This presentation discussed the Pentium Processor Family as requirement of the Micro-controller Course in Technological University of the Philippines. It covers the history of Pentium family of processors, list of Intel processors, features of the processors, architecture, modes, pipeline and trends.
This document discusses multiple processor systems including multiprocessors, multicomputers, and distributed systems. It covers topics such as multiprocessor hardware architectures, operating systems, scheduling, synchronization, and communication in these systems. It also discusses distributed systems and various middleware approaches for coordination between processes in distributed environments like document-based, file system-based, shared object-based, and coordination-based middleware.
Multicore processor by Ankit Raj and Akash PrajapatiAnkit Raj
A multi-core processor is a single computing component with two or more independent processing units called cores. This development arose in response to the limitations of increasing clock speeds in single-core processors. By incorporating multiple cores that can execute multiple tasks simultaneously, multi-core processors provide greater performance with less heat and power consumption than single-core processors. Programming for multi-core requires spreading workloads across cores using threads or processes to take advantage of the parallel processing capabilities.
Electronics product design companies in bangaloreAshok Kumar.k
DNCL Technologies Electronic design service and embedded system development ,PCB design, CPLD design & FPGA design and manufacturing service.
DNCL Technologies offers custom electronic design,embedded system design product development and pcb design,FPGA based design & CPLD design,Fireware & device drivers development, RTOS –Vxworks,Kernal programming ,Application Development and android development .
we design all types of electronic circuit or producting according to custom specification at affordable costs while maintaining highest quality product. contact us for your custom electronic product development and manufacturing.
The TMS320C5x DSP architecture is based on the C25 with some enhancements. It uses a Harvard architecture with separate program and data memory buses. The CPU contains a CALU for arithmetic, PLU for logic, and ARAU for address calculations. On-chip memory includes ROM, DARAM, and SARAM. Peripherals include serial ports, timers, interrupts, and I/O. The architecture provides high performance with low power consumption and compatibility with prior C series DSPs.
The document discusses the architecture of the TMS320C50 digital signal processor. It describes the TMS320C50's key components including its central processing unit with arithmetic logic unit, parallel logic unit, auxiliary register arithmetic unit, and memory mapped registers. It also outlines the processor's bus structure, on-chip memory including RAM and ROM, and on-chip peripherals such as timers, I/O ports, and serial interfaces. The TMS320C50 uses a Harvard architecture with separate program and data buses for high parallelism and is optimized for digital signal processing applications with features like a single-cycle multiply-accumulate instruction.
Features of tms_320_2nd_generation_dspSmriti Tikoo
The document describes the features of second generation TMS 320 DSPs, including an 80-ns instruction cycle time, 544 words of on-chip data RAM, a 32-bit ALU/accumulator, a 16x16-bit multiplier, various addressing modes, and support for multiprocessing configurations. Key features are a modified Harvard architecture, single-cycle multiply/accumulate instructions, and flexibility in interfacing with external memory and I/O devices.
This document presents benchmarks to analyze the memory subsystem performance of multicore processors from AMD and Intel. The benchmarks measure latency and bandwidth for different cache coherence states and locations in the memory hierarchy. Testing was done on dual-socket systems using AMD Opteron 2300 (Shanghai) and Intel Xeon 5500 (Nehalem-EP) quad-core processors. Results show significant performance differences driven by each processor's distinct cache architecture and coherence protocol implementations.
digital signal processing
Computer Architectures for signal processing
Harvard Architecture, Pipelining, Multiplier
Accumulator, Special Instructions for DSP, extended
Parallelism,General Purpose DSP Processors,
Implementation of DSP Algorithms for var
ious operations,Special purpose DSP
Hardware,Hardware Digital filters and FFT processors,
Case study and overview of TMS320
series processor, ADSP 21XX processor
The document provides an overview of the TMS320C6x architecture. It describes the TMS320C6x as a 32-bit VLIW digital signal processor introduced by Texas Instruments. Key features include its ability to execute up to 8 instructions per cycle and support for floating point operations. The architecture includes 8 functional units, internal memory, external memory interfaces, and peripherals like EDMA controllers and timers. The TMS320C6x is well suited for applications involving real-time signal processing like image and speech processing.
In this deck from the Argonne Training Program on Extreme-Scale Computing 2019, Scott Parker from Argonne presents: Theta and the Future of Accelerator Programming.
Designed in collaboration with Intel and Cray, Theta is a 6.92-petaflops (Linpack) system based on the second-generation Intel Xeon Phi processor and Cray’s high-performance computing software stack. Capable of nearly 10 quadrillion calculations per second, Theta will enable researchers to break new ground in scientific investigations that range from modeling the inner workings of the brain to developing new materials for renewable energy applications.
Theta’s unique architectural features represent a new and exciting era in simulation science capabilities,” said ALCF Director of Science Katherine Riley. “These same capabilities will also support data-driven and machine-learning problems, which are increasingly becoming significant drivers of large-scale scientific computing.”
Watch the video: https://wp.me/p3RLHQ-lkl
Learn more: https://www.alcf.anl.gov/news/argonnes-theta-supercomputer-goes-online
and
https://extremecomputingtraining.anl.gov/archive/atpesc-2019/agenda-2019/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
The document provides an overview of the architecture of the TMS320C5x digital signal processor (DSP). It describes the DSP's Harvard architecture with separate program and data buses. It also details the DSP's central processing unit which includes an arithmetic logic unit, parallel logic unit, and auxiliary register arithmetic unit. Additionally, it outlines the DSP's on-chip memory components and peripherals, addressing modes, and instruction set.
This document provides an overview of the syllabus for a course on microprocessors and microcontrollers. The course covers the architecture and programming of microprocessors like the Pentium and microcontrollers like the 8051 and PIC. It includes topics like protected mode, interrupts, I/O, and interfacing microcontrollers with sensors and external circuitry. The objectives are to teach students about microcontroller programming and interfacing as well as the architecture of the Pentium microprocessor.
This document analyzes the performance of two quad-core processors, the AMD Barcelona and Intel Xeon X7350, on scientific applications. It finds that while the Intel processor has a higher clock rate, the AMD processor has higher memory bandwidth and intra-node scalability. A suite of scientific applications were tested on each processor, showing a range of speedups from 3x to 16x over a single core. The document examines low-level benchmarks and application scaling to determine which processor configuration delivers the best performance for different workloads.
This document provides an overview of the 80386DX processor. It discusses the course objectives which are to learn the architecture, instruction set, and assembly programming of the 80386DX. The outcomes include being able to develop small real-life embedded applications using assembly language and understanding the architecture thoroughly. It then covers what a microprocessor is and provides details on the architecture, features, and memory organization of the 80386DX, including its segmentation unit, paging unit, and support for protected and virtual modes.
The document describes a temperature monitoring system (TMS) that collects temperature data from up to 8 pieces of equipment and sends it to a main host system. The TMS uses a microcontroller and DUART chips to interface with the various equipment using different communication protocols and formats. It converts the temperature readings to a single format and sends it to the redundant host system. The system was designed to be flexible and support a variety of equipment types and communication standards.
The document provides an overview of the features and specifications of the MCF5223x family of Ethernet microcontrollers from Freescale Semiconductor. Key features include a 10/100 Fast Ethernet controller, optional cryptographic acceleration and random number generator, integrated SRAM and flash memory, timers, analog to digital converters, and low power modes. The microcontrollers target applications such as medical devices, industrial automation, and networking.
Microprocessors are computer components made from transistors on a single chip that serve as the central processing unit (CPU) of computers. Microcontrollers are specialized microprocessors designed to control electronic devices. The key differences are that microcontrollers incorporate additional features like RAM, ROM, I/O ports directly on the chip to be self-sufficient, whereas microprocessors rely on external components. An 80286 microprocessor has features like a 16-bit data bus, 24-bit address bus, and memory management abilities. It was used in early PCs and can address up to 16MB of RAM. Microcontrollers are commonly found in embedded systems like appliances and control specific tasks without changes throughout their lifetime.
This document provides an introduction to high-performance computing (HPC) including definitions, applications, hardware, and software. It defines HPC as utilizing parallel processing through computer clusters and supercomputers to solve complex modeling problems. The document then describes typical HPC cluster hardware such as computing nodes, a head node, switches, storage, and a KVM. It also outlines cluster management software, job scheduling, and parallel programming tools like MPI that allow programs to run simultaneously on multiple processors. An example HPC cluster at SIU called Maxwell is presented with its technical specifications and a tutorial on logging into and running simple MPI programs on the system.
The document provides an overview of the architecture and features of the TMS320C6713 digital signal processor. It describes the central processing unit, internal memory, general purpose register files, functional units, and peripheral options. The document is a user manual that contains multiple chapters, with each chapter providing examples and explanations of different aspects of the C6713 architecture and software development for the processor.
The document provides an overview of the MPC8548E PowerQUICC III processor, which features an e500 core, 512KB of on-chip memory, integrated security engine, four Ethernet controllers, two PCI interfaces, and four DMA channels. It describes the processor's architecture and blocks including the core complex, memory management, cache, and various interfaces. Examples are given of applications that can be enabled by the processor's PCI Express and Ethernet capabilities such as VPN access routers and RAID controllers.
The document discusses the Intel Core i7 processor. It has the following key points:
1. The Core i7 is a quad-core desktop processor using the Intel Nehalem microarchitecture.
2. It uses the LGA1366 socket and supports DDR3 RAM via an on-die memory controller.
3. The front-side bus is replaced by the faster QuickPath Interconnect for communication with the chipset.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
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.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
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.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
1. MULTICORE INFORMATION AND POPULAR
TEXAS INSTRUMENT MULTICORE DSP
PROCESSORS
UDAY WALVEKAR
MTECH NIELIT CALICUT
2.
3. WHY MULTICORE
Gap between processor and memory speeds.
Constraints in parallelism on instructions.
Increased power consumption by single core
processors.
5. MULTICORE
A multi-core processor is a single computing
component with two or more independent actual
processing units (called "cores”).
Homogenious and heterogenious.
Maximum possible gain governed by AHMDAL'S
law.
Developed from instruction level parallelism and
thread level parallelism.
6. MULTICORE
Share caches or not.
Shared memory or message passing inter-core
communication methods.
Partitoning.
Communication.
Agglomeration.
Mapping.
10. MULTICORE PROGRAMMING
● Default affinity mask is all 1s.
● OS scheduler tries to avoid migration as
much as possible.
● Soft and hard Affinity.
●
11. MULTICORE PROGRAMMING
#include <sched.h>
int sched_getaffinity(pid_t pid,
unsigned int len, unsigned long * mask);
int sched_setaffinity(pid_t pid,
unsigned int len, unsigned long * mask);
win@win-Lenovo-Z580:~$ taskset -p 3108
pid 2763's current affinity mask: f
12. MULTICORE TO DSP
TI multicore DSP:
● TMS320C6474 .
● TMS320C6674 (fixed and floating)
● TMS320C66AK2L06(arm+dsp+Keystone 2).
13. TMS320C6474
● 3 TMS320C64x+TM DSP Cores.
● Instruction Cycle Time: 0.83 ns (1.2-GHz Device); 1 ns (1-GHz
Device); 1.18 ns (850-MHz Device).
● Cpu core structure same as c6713dsk.
● The complex multiply (CMPY) instruction takes four 16-bit
inputs and produces a 32-bit real and a 32-bit imaginary output.
● New instructions such as 32-bit multiplications, complex
multiplications, packing, sorting, bit manipulation, and 32-bit
Galois field multiplication.
14. TMS320C6474
Boot Sequence
DSP's internal memory is loaded with program and data sections.
The DSP's internal registers are programmed with predetermined
values.
Public ROM Boot
Core 0 is released from reset and begins executing from the L3
ROM base address and brings other cores out of reset by setting
to 1 the EVTPULSE4 bit (bit 4).
19. TMS320C6474 PERIPHERALS
● The primary purpose of the EDMA3 is to service user
programmed data transfers between two memory
mapped slave endpoints on the device.
● The interrupt controller allows for up to 128 system
events to be programmed to any of the twelve CPU
interrupt inputs.
● A race condition may exist when certain masters
write data to the DDR2 memory controller.
● The inter-integrated circuit (I2C) module provides
interface between a C64x+ DSP and other devices
compliant with Philips Semiconductors Inter-IC bus
(I2C bus) specification.
20. TMS320C6474 PERIPHERALS
● The Ethernet Media Access Controller (EMAC)
module provides an efficient interface between the
C6474 DSP core processor and the networked
community.
● The device contains the Semaphore module for the
management of shared resources of the DSP cores.
● The read-modify-write sequence and Direct, InDirect
accesses.
● Supports 3 masters and contains 32 semaphores.
● Frame synchronization handles timing and time
alignment on the device by coordinating timing
between the DSP cores.
21. TMS320C6674
● Four TMS320C66xTM DSP Core Subsystems.
● Each with – 1.0 GHz or 1.25 Ghz.
● Network Coprocessor.
● KeyStone Architecture-Multicore Navigator, TeraNet,
Multicore Shared Memory Controller, and HyperLink.
● The C66x core incorporates 90 new instructions (compared to
the C64x+ core) targeted for floating point and vector math
oriented processing
22. 66AK2L06
● Four TMS320C66x DSP Core Subsystems and Each
With 1.0 GHz or 1.2 Ghz.
● Two ARM ® Cortex ® -A15 MPCoreTM Processors
at Up to 1.2 Ghz.
● Understanding.
23. CONCLUSION
● Realize the imporatance of multicore.
● Its has large issues but even larger
advantages.
THANK YOU
24. TMS320C6474 PERIPHERALS
● The primary purpose of the EDMA3 is to service user
programmed data transfers between two memory
mapped slave endpoints on the device.
● The interrupt controller allows for up to 128 system
events to be programmed to any of the twelve CPU
interrupt inputs.
● A race condition may exist when certain masters
write data to the DDR2 memory controller.
● The inter-integrated circuit (I2C) module provides
interface between a C64x+ DSP and other devices
compliant with Philips Semiconductors Inter-IC bus
(I2C bus) specification.