high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Machine Learning Based Auto-tuning for Enhanced OpenCL Performance Portability

Thomas L. Falch, Anne C. Elster

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Tags: ATI, ATI Radeon HD 7970, Benchmarking, Computer science, Deep learning, Heterogeneous systems, Machine learning, Neural networks, nVidia, OpenCL, Tesla K40

June 5, 2015 by hgpu

Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS

Pall Szilard, Mark James Abraham, Carsten Kutzner, Berk Hess, Erik Lindahl

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Tags: Algorithms, Biomolecules, Computer science, CUDA, Heterogeneous systems, Molecular dynamics, Molecular simulation, MPI, nVidia, Tesla C2070, Tesla K20

June 5, 2015 by hgpu

Large-scale network simulation over heterogeneous computing architecture

Bilel Ben Romdhanne

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 860, Thesis

May 29, 2015 by hgpu

Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms

Amani AlOnazi, David Keyes, Alexey Lastovetsky, Vladimir Rychkov

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Tags: Conjugate gradient solver, CUDA, Fluid dynamics, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX Titan

May 29, 2015 by hgpu

Revisiting Actor Programming in C++

Dominik Charousset, Raphael Hiesgen, Thomas C. Schmidt

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Tags: Algorithms, Computer science, Heterogeneous systems, MPI, nVidia, OpenCL, OpenMPI, Package, Programming Languages, Tesla C2075

May 28, 2015 by hgpu

Solving incompressible Navier-Stokes equations on heterogeneous parallel architectures

Yushan Wang

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, MPI, Navier-Stokes equations, NSEs, nVidia, Tesla K20, Thesis

May 25, 2015 by hgpu

Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries

Jason Power, Yinan Li, Mark D. Hill, Jignesh M. Patel, David A. Wood

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Tags: Algorithms, AMD Radeon R7 240, ATI, ATI Radeon HD 7970, Computer science, Databases, Heterogeneous systems, OpenCL

May 22, 2015 by hgpu

An Efficient, Automatic Approach to High Performance Heterogeneous Computing

Gordon Inggs, David B. Thomas, Wayne Luk

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Tags: AMD FirePro W5000, ATI, Computational finance, Computer science, Finance, FPGA, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia Grid K2, nVidia Quadro K4000, OpenCL, Option pricing, Performance

May 20, 2015 by hgpu

Multi-GPU Support on Single Node Using Directive-Based Programming Model

Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Barbara Chapman

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Tags: Computer science, Heterogeneous systems, nVidia, OpenACC, OpenMP, Tesla K20

May 16, 2015 by hgpu

Efficient Resource Scheduling for Big Data Processing on Accelerator-based Heterogeneous Systems

Ayman Tarakji, David Hebbeker, Lyubomir Georgiev

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Tags: AMD FirePro S10000, AMD FirePro S7000, ATI, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, OpenCL, Performance, Tesla C2050

May 16, 2015 by hgpu

Adaptive discrete cosine transform-based image compression method on a heterogeneous system platform using Open Computing Language

Nasser Alqudami, Shin-Dug Kim

Tags: Algorithms, Compression, Heterogeneous systems, Image processing, OpenCL

May 15, 2015 by hgpu

Development of Parallel Architectures for Radar/Video Signal Processing Applications

Amin Jarrah

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Tags: Algorithms, CUDA, Discrete Wavelet Transform, FPGA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 260, Signal processing, Thesis

May 12, 2015 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Machine Learning Based Auto-tuning for Enhanced OpenCL Performance Portability

Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS

Large-scale network simulation over heterogeneous computing architecture

Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms

Revisiting Actor Programming in C++

Solving incompressible Navier-Stokes equations on heterogeneous parallel architectures

Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries

An Efficient, Automatic Approach to High Performance Heterogeneous Computing

Multi-GPU Support on Single Node Using Directive-Based Programming Model

Efficient Resource Scheduling for Big Data Processing on Accelerator-based Heterogeneous Systems

Adaptive discrete cosine transform-based image compression method on a heterogeneous system platform using Open Computing Language

Development of Parallel Architectures for Radar/Video Signal Processing Applications

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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