high performance computing on graphics processing units: hgpu.org

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Exploring SIMD for Molecular Dynamics, Using Intel Xeon Processors and Intel Xeon Phi Coprocessors

S. J. Pennycook, C. J. Hughes, M. Smelyanskiy, S. A. Jarvis

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Tags: Algorithms, Benchmarking, Computer science, Intel, Intel Phi, Molecular dynamics

February 14, 2013 by hgpu

Interleaving and Lock-Step Semantics for Analysis and Verification of GPU Kernels

Peter Collingbourne, Alastair F. Donaldson, Jeroen Ketema, Shaz Qadeer

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce 9400 M, OpenCL, Package

January 15, 2013 by hgpu

Evaluating Reconfigurable Dataflow Computing Using the Himeno Benchmark

Yukinori Sato, Yasushi Inoguchi, Wayne Luk, Tadao Nakamura

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Tags: Benchmarking, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Tesla M2050

January 11, 2013 by hgpu

uBench: Performance Impact of CUDA Block Geometry

Yuri Torres, Arturo Gonzalez, Diego R. Llanos

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Performance

January 3, 2013 by hgpu

Floating Point Arithmetic for Transport Triggered Architectures

Timo Tapani Viitanen

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Tags: Algorithms, Benchmarking, Computer science, FPGA, OpenCL, Thesis

December 30, 2012 by hgpu

OpenMP Programming on Intel R Xeon Phi TM Coprocessors: An Early Performance Comparison

Tim Cramer, Dirk Schmidl, Michael Klemm, Dieter an Mey

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Tags: Benchmarking, Computer science, Intel, Intel Phi, OpenMP, Performance

December 8, 2012 by hgpu

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

Vitaly Zakharenko

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Tags: AMD Fusion, Analytical model, Benchmarking, Computer science, Package, Performance, Thesis

December 4, 2012 by hgpu

Softshell: Dynamic Scheduling on GPUs

Markus Steinberger, Bernhard Kainz, Bernhard Kerbl, Stefan Hauswiesner, Michael Kenzel, Dieter Schmalstieg

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Package, Task scheduling

November 27, 2012 by hgpu

A Data-Parallel Algorithmic Modelica Extension for Efficient Execution on Multi-Core Platforms

Mahder Gebremedhin, Afshin Hemmati Moghadam, Peter Fritzson, Kristian Stavaker

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Tags: Algorithms, Benchmarking, Compilers, Computer science, Matrix multiplication, nVidia, OpenCL, Tesla M2050

November 27, 2012 by hgpu

Characterization and Performance Analysis for 3D Benchmarks

Joseph Issa

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Tags: Analytical model, ATI, ATI Radeon HD 3470, Benchmarking, Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9400 GT, nVidia GeForce 9500 GT, Performance

November 25, 2012 by hgpu

Auto-tunable GPU BLAS (thesis)

Geir Josten Lien

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, MPI, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Tesla C2050, Thesis

November 18, 2012 by hgpu

Real-Time Scheduling Using GPUs – Advanced and More Accurate Proof of Feasibility

Peter Fodrek, Ludovit Farkas, Michal Blaho, Martin Foltin, Juraj Hnat, Tomas Murgas

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Tags: Benchmarking, Computer science, OpenCL, Performance, Task scheduling

November 14, 2012 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

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

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high performance computing on graphics processing units: hgpu.org

Exploring SIMD for Molecular Dynamics, Using Intel Xeon Processors and Intel Xeon Phi Coprocessors

Interleaving and Lock-Step Semantics for Analysis and Verification of GPU Kernels

Evaluating Reconfigurable Dataflow Computing Using the Himeno Benchmark

uBench: Performance Impact of CUDA Block Geometry

Floating Point Arithmetic for Transport Triggered Architectures

OpenMP Programming on Intel R Xeon Phi TM Coprocessors: An Early Performance Comparison

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

Softshell: Dynamic Scheduling on GPUs

A Data-Parallel Algorithmic Modelica Extension for Efficient Execution on Multi-Core Platforms

Characterization and Performance Analysis for 3D Benchmarks

Auto-tunable GPU BLAS (thesis)

Real-Time Scheduling Using GPUs – Advanced and More Accurate Proof of Feasibility

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

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

DuoReduce: MLIR's benchmark

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