high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Domain-Specific Languages for Heterogeneous Parallel Computing

HyoukJoong Lee, Kevin J. Brown, Arvind K. Sujeeth, Hassan Chafi, Tiark Rompf, Martin Odersky, Kunle Olukotun

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, Tesla C2050

October 15, 2013 by hgpu

Characterizing the Challenges and Evaluating the Efficacy of a CUDA-to-OpenCL Translator

Mark Gardner, Paul Sathre, Wu-chun Feng, Gabriel Martinez

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL

October 13, 2013 by hgpu

Coupling a Generalized DEM and an SPH Models Under a Heterogeneous Massively Parallel Framework

Ricardo Canelas, Jose M. Dominguez, Rui M. L. Ferreira

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 680

October 12, 2013 by hgpu

Automatic run-time mapping of polyhedral computations to heterogeneous devices with memory-size restrictions

Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos

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Tags: Computer science, CUDA, Heterogeneous systems, Memory model, nVidia, nVidia GeForce GTX 680

October 12, 2013 by hgpu

Dandelion: a Compiler and Runtime for Heterogeneous Systems

Christopher J. Rossbach, Yuan Yu, Jon Currey, Jean-Philippe Martin, Dennis Fetterly

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla K20

October 12, 2013 by hgpu

Scalable Fast Multipole Methods on Heterogeneous Architecture

Q. Hu

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Tesla C1060, Tesla C2050, Thesis

October 9, 2013 by hgpu

Performance Analysis of a Large Memory Application on Multiple Architectures

P.M.Kogge

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Tags: Benchmarking, Heterogeneous systems, nVidia, nVidia Tesla, Performance

October 9, 2013 by hgpu

Enabling the use of Heterogeneous Computing for Bioinformatics

Ramakrishna Bijanapalli Chakri

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Tags: Bioinformatics, Biology, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Smith-Waterman algorithm, Thesis

October 8, 2013 by hgpu

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

Tilman Dannert, Andreas Marek, Markus Rampp

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Tags: Computational Physics, CUDA, GPU cluster, Heterogeneous systems, nVidia, PC cluster, Physics, Plasma physics, Solar and Stellar Astrophysics, Tesla K20

October 8, 2013 by hgpu

Performance Portability Evaluation for OpenACC on Intel Knights Corner and Nvidia Kepler

Yichao Wang, Qiang Qin, Simon Chong Wee SEE, James Lin

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Tags: Computer science, Heterogeneous systems, Intel Phi, nVidia, OpenACC, Tesla K20

October 4, 2013 by hgpu

Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

Alin Florindor Murarasu

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia Quadro 6000, Thesis

October 4, 2013 by hgpu

Towards Multi-GPU Support in the Marrow Skeleton Framework

Fernando Alexandre, Ricardo Marques, Herve Paulino

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, nVidia, nVidia Quadro FX 3800, OpenCL, Tesla C1060

October 3, 2013 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

See all packages

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high performance computing on graphics processing units: hgpu.org

Domain-Specific Languages for Heterogeneous Parallel Computing

Characterizing the Challenges and Evaluating the Efficacy of a CUDA-to-OpenCL Translator

Coupling a Generalized DEM and an SPH Models Under a Heterogeneous Massively Parallel Framework

Automatic run-time mapping of polyhedral computations to heterogeneous devices with memory-size restrictions

Dandelion: a Compiler and Runtime for Heterogeneous Systems

Scalable Fast Multipole Methods on Heterogeneous Architecture

Performance Analysis of a Large Memory Application on Multiple Architectures

Enabling the use of Heterogeneous Computing for Bioinformatics

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

Performance Portability Evaluation for OpenACC on Intel Knights Corner and Nvidia Kepler

Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

Towards Multi-GPU Support in the Marrow Skeleton Framework

Recent source codes

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

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