PDF4PRO ⚡AMP

Modern search engine that looking for books and documents around the web

Example: tourism industry

Optimizing Parallel Reduction in CUDA

Optimizing Parallel Reduction in cuda . Mark Harris NVIDIA Developer Technology Parallel Reduction Common and important data Parallel primitive Easy to implement in cuda . Harder to get it right Serves as a great optimization example We'll walk step by step through 7 different versions Demonstrates several important optimization strategies 2. Parallel Reduction Tree-based approach used within each thread block 3 1 7 0 4 1 6 3. 4 7 5 9. 11 14. 25. Need to be able to use multiple thread blocks To process very large arrays To keep all multiprocessors on the GPU busy Each thread block reduces a portion of the array But how do we communicate partial results between thread blocks?

7 Reduction #1: Interleaved Addressing __global__ void reduce0(int *g_idata, int *g_odata) {extern __shared__ int sdata[]; // each thread loads one element from global to shared mem

Fullscreen Download
Loading..

Tags:

  Shared, Cuda

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Spam in document Broken preview Other abuse

Transcription of Optimizing Parallel Reduction in CUDA

Documents from same domain

nvidia-smi.txt Page 1

developer.download.nvidia.com

-ac, --applications-clocks=MEM_CLOCK,GRAPHICS_CLOCK Specifies maximum <memory,graphics> clocks as a pair (e.g. 2000,800) that defines GPU’s speed while running applications on a GPU. For Tesla devices from the Kepler+ family and Maxwell-based GeForce Titan. Requires root unless restrictions are relaxed with the -acp command..

  Nvidia, Pages, Clock, Txt page 1, Nvidia smi

NVIDIA CUDA Installation Guide for Microsoft Windows

developer.download.nvidia.com

www.nvidia.com NVIDIA CUDA Installation Guide for Microsoft Windows DU-05349-001_v9.0 | 1 Chapter 1. INTRODUCTION CUDA® is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the

  Guide, Installation, Windows, Installation guide

NVIDIA CUDA Installation Guide for Microsoft Windows

developer.download.nvidia.com

www.nvidia.com NVIDIA CUDA Installation Guide for Microsoft Windows DU-05349-001_v9.1 | 1 Chapter 1. INTRODUCTION CUDA® is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the

  Guide, Installation, Microsoft, Windows, Cuda, Cuda installation guide for microsoft windows

CUDA by Example - Nvidia

developer.download.nvidia.com

CUDA by Example An IntroductIon to GenerAl-PurPose GPu ProGrAmmInG JAson sAnders edwArd KAndrot Upper Saddle River, NJ • Boston • Indianapolis • San Francisco

  Introduction, Example, Cuda, Cuda by example

CUDA Getting Started Linux

developer.download.nvidia.com

To verify which video adapter your system uses, find the model number by going to your distribution's equivalent of System Properties, or, from the command line, enter: lspci | grep -i nvidia If you do not see any settings, update the PCI hardware database that Linux maintains

  Verify

SLI Best Practices - Nvidia

developer.download.nvidia.com

Feb 15, 2011 · Avoiding Common Causes of Inter-frame Dependencies ... In general terms, there are three common types of pitfalls: CPU boundedness, CPU-GPU synchronization and inter-frame dependencies (which introduce inter-GPU synchronization and communication). Of these pitfalls, CPU boundedness is the one that may be most difficult to solve

  Practices, Best, Common, Avoiding, Pitfalls, Sli best practices, Avoiding common

NVIDIA CUDA Installation Guide for Microsoft Windows

developer.download.nvidia.com

Accessing the files in this manner does not set up any environment settings, such as variables or Visual Studio integration. This is intended for enterprise-level deployment. 2.3.1. Uninstalling the CUDA Software All subpackages can be uninstalled through the Windows Control Panel by using the Programs and Features widget. 2.4.

  Microsoft, Accessing

NVIDIA CUDA Programming Guide

developer.download.nvidia.com

vi CUDA C Programming Guide Version 4.2 B.3.1 char1, uchar1, char2, uchar2, char3, uchar3, char4, uchar4, short1, ushort1, short2, ushort2, short3, ushort3, short4 ...

  Guide, Programming, Programming guide, Cuda, Cuda programming guide

CUDA C/C++ Streams and Concurrency

developer.download.nvidia.com

cudaEventCreateWithFlags ( &event, cudaEventDisableTiming ) Concurrency Guidelines Code to programming model – Streams Future devices will continually improve HW representation of streams model Pay attention to issue order Can make a difference

  Master, Events, Concurrency, Streams and concurrency

cascaded shadow maps - Nvidia

developer.download.nvidia.com

algorithm and contains all code for creating and drawing the shadow maps and the final image to the screen. Roughly, terrain.cpp and utility.cpp provide the framework needed to run the sample which in real games is provided by the game engine. In this analogy, display() is a part of

  Creating, Amps, Shadow, Cascaded, Cascaded shadow maps

Related documents

Chapter 12: Distributed Shared Memory

www.cs.uic.edu

Chapter 12: Distributed Shared Memory Ajay Kshemkalyani and Mukesh Singhal Distributed Computing: Principles, Algorithms, and Systems Cambridge University Press A. Kshemkalyani and M. Singhal (Distributed Computing) Distributed Shared Memory CUP 2008 1 / 48

  Memory, Chapter, Chapter 12, Distributed, Shared, Shared memory, Distributed shared memory

JSR-133: JavaTM Memory Model and Thread Specification

www.cs.umd.edu

shared memory that is updated by multiple threads. As the specification is similar to the memory models for different hardware architectures, these semantics are referred to as the JavaTM memory model. These semantics do not describe how a multithreaded program should be executed. Rather,

  Memory, Model, Thread, Shared, Specification, Shared memory, Memory model and thread specification

Multi-core architectures

www.cs.cmu.edu

shared memory for all processors • Distributed memory: In this model, each processor has its own (small) local memory, and its content is not replicated anywhere else. 14 Multi-core processor is a special kind of a multiprocessor: All processors are on the same chip

  Memory, Shared, Shared memory

VMware VMotion

www.vmware.com

of files stored on shared storage such as Fibre Channel or iSCSI Storage Area Network (SAN) or Network Attached Storage (NAS). VMware’s clustered Virtual Machine File System (VMFS) allows multiple installations of ESX Server to access the same virtual machine files concurrently. Second, the active memory and precise execution state of the

  Memory, Shared, Vmware

Shared Memory Multiprocessors - www-5.unipv.it

www-5.unipv.it

Shared memory multiprocessors • A system with multiple CPUs “sharing” the same main memory is called multiprocessor. • In a multiprocessor system all processes on the various CPUs share a unique logical address space, which is mapped on a physical memory that can be distributed among the processors.

  Memory, Shared, Shared memory

Shared Leadership in Higher Education

www.acenet.edu

able to external stakeholders, as shared leadership enables institutions to create meaningful and lasting changes in organizations that address external challenges (Wheatley 1999). Shared leadership builds institutional memory and creates co-ownership over aspirational goals and strategies that could otherwise vanish with executive turnover.

  Education, Higher, Memory, Leadership, Shared, Shared leadership in higher education

Dell EMC PowerEdge T440 Technical Guide

i.dell.com

2666 MT/s DDR4 memory Support up to 16 DIMMs Speed of up to 2666 MT/s depending on the CPU. Support flexible memory configuration of 8 GB to 768 GB in balanced memory configuration. Up to 1 TB maximum in an unbalanced memory configuration. CPU1 support up to 10 DIMMs CPU2 support upto 6 DIMMs

  Memory

ASk the CogNItIve SCIeNtISt What Will Improve a Student’s ...

www.aft.org

over time; if you don’t use a memory, you lose it. That may be a factor in forgetting, but it’s probably not a major one. This may be hard to believe, but sometimes the memory isn’t gone—it’s just hard to get to. So, more important than the passage of time or disuse is the quality of the cues you have to get to the memory.

  Memory

Dell Precision 17 7000 Series (7710)

i.dell.com

FPO Feature Dell Precision 17 7000 Series Technical Specifications Model 7710 Processors1 Intel Core XeonE 3-1575M v5 Quad .00GHz, 90GHz Turbo, 8MB 45W Intel Core Xeon E3-1545M v5 Quad Core Xeon 2.90GHz, 3.80GHz Turbo, 8MB 45W

  Series, Dell, Precision, 7000, 7710, Dell precision 17 7000 series

Related search queries

Chapter 12: Distributed Shared Memory, Shared memory, Memory Model and Thread Specification, Memory, VMware, Shared, Shared Leadership in Higher Education, Dell Precision 17 7000 Series 7710, Dell Precision 17 7000 Series