high performance computing on graphics processing units: hgpu.org

Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh nguyen, Rahul Sampath, Aashay Shringarpure, Richard Vuduc, Lexing Ying, Denis Zorin, George Biros

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Tags: Computer science, CUDA, Fast multipole method, Heterogeneous systems, MPI, nVidia, Programming techniques, Tesla M2070

July 5, 2012 by hgpu

A new parallelisation technique for heterogeneous CPUs

Youssef Omran Gdura

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Tags: Benchmarking, Code generation, Computer science, Heterogeneous systems, Programming techniques, Thesis

June 5, 2012 by hgpu

Fine-Grained Resource Sharing for Concurrent GPGPU Kernels

Chris Gregg, Jonathan Dorn, Kim Hazelwood, Kevin Skadron

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Tags: Computer science, nVidia, nVidia GeForce GTX 460, OpenCL, Programming techniques, Task scheduling

May 24, 2012 by hgpu

An Automatic Speech Recognition Application Framework for Highly Parallel Implementations on the GPU

Jike Chong, Ekaterina Gonina, Dorothea Kolossa, Steffen Zeiler, Kurt Keutzer

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Tags: Computer science, CUDA, Java, nVidia, nVidia GeForce GTX 480, Programming techniques, Speech recognition

May 15, 2012 by hgpu

Mapping a Data-Flow Programming Model onto Heterogeneous Platforms

Alina Sbirlea, Yi Zou, Zoran Budimlic, Jason Cong, Vivek Sarkar

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Tags: Algorithms, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060

May 14, 2012 by hgpu

CAPRI: Prediction of Compaction-Adequacy for Handling Control-Divergence in GPGPU Architectures

Minsoo Rhu, Mattan Erez

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Performance, Programming techniques

May 11, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Mesh Independent Loop Fusion for Unstructured Mesh Applications

Parallel programming on GPU using Intel Array Building Blocks

SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Invitation to a Standard Programming Interface for Massively Parallel Computing Environment: OpenCL

Geometric Algebra enhanced Precompiler for C++ and OpenCL

A Massively Parallel Adaptive Fast Multipole Method on Heterogeneous Architectures

A new parallelisation technique for heterogeneous CPUs

Fine-Grained Resource Sharing for Concurrent GPGPU Kernels

An Automatic Speech Recognition Application Framework for Highly Parallel Implementations on the GPU

Mapping a Data-Flow Programming Model onto Heterogeneous Platforms

CAPRI: Prediction of Compaction-Adequacy for Handling Control-Divergence in GPGPU Architectures

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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