'Thread block' diaporamas de présentation

GPU Programming: eScience or Engineering ?

Commit /. GPU Programming: eScience or Engineering ?. msterdam. Vrije Universiteit. Henri Bal. Graphics Processing Units. GPUs and other accelerators take top-500 by storm Many application success stories But GPUs are very difficult to program and optimize.

845 views • 66 slides

GPU Programming: eScience or Engineering ?

Commit /. GPU Programming: eScience or Engineering ?. msterdam. Vrije Universiteit. Henri Bal. Graphics Processing Units. GPUs and other accelerators take top-500 by storm Many application success stories But GPUs are very difficult to program and optimize.

765 views • 66 slides

Roadmap

Introduction to CUDA Programming 15-418/618: Parallel Computer Architecture and Programming Recitation 2, February 2, 2018,. Roadmap. Review Possibly Helpful Tips Performance Optimization Example. Vocabulary. CPU: A central processor unit, i.e. a normal processor

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HPC Computing with CUDA and Tesla Hardware

HPC Computing with CUDA and Tesla Hardware. Timothy Lanfear, NVIDIA. What is GPU Computing?. What is GPU Computing?. x86. GPU. PCIe bus. Computing with CPU + GPU Heterogeneous Computing. Control. ALU. ALU. ALU. ALU. DRAM. Cache. DRAM. Low Latency or High Throughput?. CPU

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HPC Computing with CUDA and Tesla Hardware

HPC Computing with CUDA and Tesla Hardware. Tim Lanfear, NVIDIA. What is GPU Computing?. Heterogeneous Computing: CPU and GPU. PCIe bus. GPU. x86. Control. ALU. ALU. ALU. ALU. DRAM. Cache. DRAM. Low Latency or High Throughput?. CPU

781 views • 59 slides

CUDA

CUDA. Slides by David Kirk. What is GPGPU ?. General Purpose computation using GPU in applications other than 3D graphics GPU accelerates critical path of application Data parallel algorithms leverage GPU attributes Large data arrays, streaming throughput Fine-grain SIMD parallelism

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CIS 6930: Chip Multiprocessor: Parallel Architecture and Programming

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CIS 6930: Chip Multiprocessor: Parallel Architecture and Programming

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GPU Programming and CUDA

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Lecture 3: CUDA Threads & Atomics

Lecture 3: CUDA Threads & Atomics. atomics. The Problem. How do you do global communication? Finish a grid and start a new one. Global Communication. Finish a kernel and start a new one All writes from all threads complete before a kernel finishes. step1<<<grid1,blk1>>>(...);

401 views • 38 slides

JPEG Compression Algorithm In CUDA

JPEG Compression Algorithm In CUDA. Group Members: Pranit Patel Manisha Tatikonda Jeff Wong Jarek Marczewski Date: April 14, 2009. Outline. Motivation JPEG Algorithm Design Approach in CUDA Benchmark Conclusion. Motivation. Growth of Digital Imaging Applications

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GPU History CUDA

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GPU History CUDA Intro

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Quicksort Algorithm on GPU

Quicksort Algorithm on GPU. Team #11 Kha Man Hieu Nguyen. Introduction. Quicksort is one of the fastest sorting algorithms in practice on CPU but it is not considered an efficient sorting solution on GPU ? GOAL: Achieve a high Quicksort performance on GPU. Introduction. IMPORTANT.

731 views • 29 slides

NVIDIA Kepler Architecture

NVIDIA Kepler Architecture. Paul Bissonnette Rizwan Mohiuddin Ajith Herga. Compute Unified Device Architecture. Hybrid CPU/GPU Code Low latency code is run on CPU Result immediately available High latency, high throughput code is run on GPU Result on bus

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ME964 High Performance Computing for Engineering Applications

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Introduction

Introduction . Manjusha Nair M Amrita School of Biotechnology, Amrita University. Contents What is Parallel Computing? Concepts and Terminology CPU Vs GPU CUDA Programming Model CUDA Memory model CUDA Architecture Threads, Blocks,Grids. I. What is Parallel Computing?.

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CS 3204 Operating Systems

CS 3204 Operating Systems. Godmar Back. Lecture 13. Announcements. Project 1 is due Feb 27, 11:59pm Should have finished alarm clock by now Basic priority no later than Friday (Feb 17) priority-change, -preempt, -fifo, -sema, -condvar

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Uniprocessor Locks, v1

void lock_acquire(struct lock *l) { while (1) { Disable interrupts; if (!l->locked) { l->locked = 1; Enable interrupts; return; } Enable interrupts; } } void lock_release(struct lock *l) {

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