high performance computing on graphics processing units: hgpu.org

hgpu.org » Data parallelism

Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs

Wei Tan, Liangliang Cao, Liana Fong

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Factorization, nVidia, nVidia GeForce GTX Titan X, OpenMP, Tesla K80

March 15, 2016 by hgpu

Compositional Compilation for Sparse, Irregular Data Parallelism

Adam Harries, Michel Steuwer, Murray Cole, Alan Gray, Christophe Dubach

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Tags: Computer science, Data parallelism, nVidia, OpenCL, Sparse matrix, Tesla K40

January 26, 2016 by hgpu

CuMF: scale matrix factorization using just ONE machine with GPUs

Wei Tan, Liangliang Cao

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Tags: Computer science, CUDA, Data parallelism, Factorization, Linear Algebra, nVidia, nVidia GeForce GTX Titan X

December 6, 2015 by hgpu

Optimizing strassen matrix multiply on GPUs

Ayaz ul Hasan Khan, Mayez Al-Mouhamed, Allam Fatayer

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Data parallelism, Matrix multiplication, nVidia, Tesla K20

August 11, 2015 by hgpu

Hetero-DB: Next Generation High-Performance Database Systems by Best Utilizing Heterogeneous Computing and Storage Resources

Kai Zhang, Feng Chen, Xiaoning Ding, Yin Huai, Rubao Lee, Tian Luo, Kaibo Wang, Yuan Yuan, Xiaodong Zhang

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Tags: Computer science, CUDA, Data parallelism, Databases, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, OpenCL

July 6, 2015 by hgpu

Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores

Kai Zhang, Kaibo Wang, Yuan Yuan, Lei Guo, Rubao Lee, Xiaodong Zhang

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Tags: Computer science, CUDA, Data parallelism, Databases, nVidia, nVidia GeForce GTX 780, Package

July 6, 2015 by hgpu

Converting Data-Parallelism to Task-Parallelism by Rewrites: Purely Functional Programs Across Multiple GPUs

Bo Joel Svensson, Michael Vollmer, Eric Holk, Trevor L. McDonell, Ryan R. Newton

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Tags: Computer science, CUDA, Data parallelism, Haskell, nVidia, Tesla C2075

March 8, 2015 by hgpu

Exploiting Concurrency Patterns with Heterogeneous Task and Data Parallelism

A Geetha Venkatesh

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Tags: Computer science, Data parallelism, Heterogeneous systems, Matrix multiplication, nVidia, OpenCL, Tesla C2070, Thesis

February 3, 2015 by hgpu

Theano-based Large-Scale Visual Recognition with Multiple GPUs

Weiguang Ding, Ruoyan Wang, Fei Mao, Graham Taylor

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Tags: Computer science, CUDA, Data parallelism, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan, Package, Python

December 9, 2014 by hgpu

Portable OpenCL Out-of-Order Execution Framework for Heterogeneous Platforms

Ville Korhonen

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Tags: Computer science, Data parallelism, Heterogeneous systems, OpenCL, Task scheduling, Thesis

December 9, 2014 by hgpu

Characterization and Analysis of Dynamic Parallelism in Unstructured GPU Applications

Jin Wang, Sudhakar Yalamanchili

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX Titan, Tesla K20, Tesla K40

September 11, 2014 by hgpu

Optimistic Parallelism on GPUs

Min Feng, Rajiv Gupta, Laxmi N. Bhuyan

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Tags: Computer science, CUDA, Data parallelism, nVidia, Performance, Tesla C1060

September 2, 2014 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs

Compositional Compilation for Sparse, Irregular Data Parallelism

CuMF: scale matrix factorization using just ONE machine with GPUs

Optimizing strassen matrix multiply on GPUs

Hetero-DB: Next Generation High-Performance Database Systems by Best Utilizing Heterogeneous Computing and Storage Resources

Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores

Converting Data-Parallelism to Task-Parallelism by Rewrites: Purely Functional Programs Across Multiple GPUs

Exploiting Concurrency Patterns with Heterogeneous Task and Data Parallelism

Theano-based Large-Scale Visual Recognition with Multiple GPUs

Portable OpenCL Out-of-Order Execution Framework for Heterogeneous Platforms

Characterization and Analysis of Dynamic Parallelism in Unstructured GPU Applications

Optimistic Parallelism on GPUs

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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