high performance computing on graphics processing units: hgpu.org

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A Similarity-Based Analysis Tool for Scientific Application Porting

Wei Ding

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, OpenMP, Performance, Portability, Tesla C2070, Thesis

February 17, 2014 by hgpu

Towards Porting a Real-World Seismological Application to the Intel MIC Architecture

V. Weinberg, M. Allalen, G. Brietzke

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Tags: Earth and Space Sciences, Fortran, Geoscience, Heterogeneous systems, Intel Xeon Phi, MPI, Seismology

February 16, 2014 by hgpu

Direct Numerical Simulation and Large Eddy Simulation on a Turbulent Wall-Bounded Flow Using Lattice Boltzmann Method and Multiple GPUs

Xian Wang, Yanqin Shangguan, Hiromichi KOBAYASHI, Takayuki AOKI, Naoyuki Onodera

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, MPI, Numerical simulation, nVidia, Tesla K20

February 16, 2014 by hgpu

Accelerator Aware MPI Micro-benchmarking using CUDA, OpenACC and OpenCL

Sadaf Alam, Ugo Varetto

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Tags: Benchmarking, Computer science, CUDA, Intel Xeon Phi, MPI, nVidia, OpenACC, OpenCL, Performance, Tesla K20, Tesla M2090

February 15, 2014 by hgpu

Designing Bit-Reproducible Portable High-Performance Applications

Andrea Arteaga, Oliver Fuhrer, Torsten Hoefler

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Portability, Tesla K20

February 12, 2014 by hgpu

GROMACS on Hybrid CPU-GPU and CPU-MIC Clusters: Preliminary Porting Experiences, Results and Next Steps

Sadaf Alam, Ugo Varetto

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, Intel Xeon Phi, MPI, nVidia, OpenCL, Tesla K20

February 12, 2014 by hgpu

OpenACC-based GPU Acceleration of a 3-D Unstructured Discontinuous Galerkin Method

Yidong Xia, Hong Luo, Lixiang Luo, Jack Edwards, Jialin Lou

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Tags: Fluid dynamics, MPI, nVidia, OpenACC, Tesla K20

February 5, 2014 by hgpu

A QUDA-branch to compute disconnected diagrams in GPUs

Constantia Alexandrou, Kyriacos Hadjiyiannakou, Giannis Koutsou, Alexei Strelchenko, Alejandro Vaquero

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, MPI, nVidia, Physics, QCD, Tesla M2070

January 30, 2014 by hgpu

Automatic Resource-Constrained Static Task Parallelization

Dounia Khaldi

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Tags: Algorithms, Code generation, Computer science, MPI, OpenCL, Task scheduling, Thesis

January 28, 2014 by hgpu

Computing Best Possible Pseudo-Solutions to Interval Linear Systems of Equations

Anatoly V. Panyukov, Valentin A. Golodov

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Tags: Computer science, CUDA, Linear Algebra, MPI, nVidia, nVidia GeForce GTX 460

January 26, 2014 by hgpu

A High-productivity Framework for Multi-GPU computation of Mesh-based applications

Takashi Shimokawabe, Takayuki Aoki, Naoyuki Onodera

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Tags: Computer science, CUDA, Diffusion equation, MPI, nVidia, Tesla K20

January 25, 2014 by hgpu

Towards Portable Performance for Explicit Hydrodynamics Codes

A. C. Mallinson, D. A. Beckingsale, W. P. Gaudin, J. A. Herdman, S. A. Jarvis

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Source codes

Tags: APU, ATI, ATI FirePro V7800, Computer science, Fluid dynamics, MPI, nVidia, OpenCL, Package, Performance, Tesla K20

January 14, 2014 by hgpu

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

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

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

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high performance computing on graphics processing units: hgpu.org

A Similarity-Based Analysis Tool for Scientific Application Porting

Towards Porting a Real-World Seismological Application to the Intel MIC Architecture

Direct Numerical Simulation and Large Eddy Simulation on a Turbulent Wall-Bounded Flow Using Lattice Boltzmann Method and Multiple GPUs

Accelerator Aware MPI Micro-benchmarking using CUDA, OpenACC and OpenCL

Designing Bit-Reproducible Portable High-Performance Applications

GROMACS on Hybrid CPU-GPU and CPU-MIC Clusters: Preliminary Porting Experiences, Results and Next Steps

OpenACC-based GPU Acceleration of a 3-D Unstructured Discontinuous Galerkin Method

A QUDA-branch to compute disconnected diagrams in GPUs

Automatic Resource-Constrained Static Task Parallelization

Computing Best Possible Pseudo-Solutions to Interval Linear Systems of Equations

A High-productivity Framework for Multi-GPU computation of Mesh-based applications

Towards Portable Performance for Explicit Hydrodynamics Codes

Recent source codes

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

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

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