high performance computing on graphics processing units: hgpu.org

Won-Ki Jeong, Jens Schneider, Stephen G. Turney, Beverly E. Faulkner-Jones, Dominik Meyer, Rudiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister

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Tags: Image processing, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Texture detection, Visualization

June 17, 2011 by hgpu

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Byunghyun Jang, Dana Schaa, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, Brook, Computer science, CUDA, Data parallelism, Memory model, nVidia, nVidia GeForce GTX 285, Review

June 17, 2011 by hgpu

A Memory Centric Kernel Framework for Accelerating Short-Range, Interactive Particle Simulation

Ian Stewart, Shujia Zhou

Tags: Cell processor, Computer science, Memory model, nVidia

June 17, 2011 by hgpu

Efficient High-Quality Volume Rendering of SPH Data

Roland Fraedrich, Stefan Auer, Rudiger Westermann

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Tags: Computer science, nVidia, nVidia GeForce GTX 280, Rendering, Visualization, Voxelization

June 16, 2011 by hgpu

Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA

Tomasz Topa, A. Noga, A. Karwowski

Tags: CUDA, Electrodynamics, nVidia

June 16, 2011 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

Direct Volume Editing

CUDA-Based Jacobi’s Iterative Method

Interactive Visualization of Molecular Surface Dynamics

Parallelization and characterization of GARCH option pricing on GPUs

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

The Rhombic Dodecahedron Map: An Efficient Scheme for Encoding Panoramic Video

Interactive Histology of Large-Scale Biomedical Image Stacks

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

A Memory Centric Kernel Framework for Accelerating Short-Range, Interactive Particle Simulation

Efficient High-Quality Volume Rendering of SPH Data

Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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