high performance computing on graphics processing units: hgpu.org

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Implementation of algorithms with a fine-grained parallelism on GPUs

K. Kalgin

Tags: Algorithms, Cellular automata, Computer science, CUDA, nVidia, Programming techniques

March 17, 2011 by hgpu

Live, Video-Rate Super-Resolution Microscopy Using Structured Illumination and Rapid GPU-Based Parallel Processing

Jonathan Lefman, Keana Scott, Stephan Stranick

Tags: Computer science, CUDA, Microscopy, nVidia

March 17, 2011 by hgpu

Performance analysis of single-phase, multiphase, and multicomponent lattice-Boltzmann fluid flow simulations on GPU clusters

J. Myre, S. D. C. Walsh, D. Lilja, M. O. Saar

Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, OpenMP, Performance

March 17, 2011 by hgpu

Memory-Scalable GPU Spatial Hierarchy Construction

Qiming Hou, Xin Sun, Kun Zhou, Christian Lauterbach, Dinesh Manocha, Baining Guo

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Tags: Computer science, CUDA, KD-tree, Memory, nVidia, nVidia GeForce GTX 280

March 17, 2011 by hgpu

CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography

Svetlin A. Manavski

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Tags: AES, ATI, ATI Radeon X1900, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, OpenGL, Security

March 17, 2011 by hgpu

High-Throughput Transaction Executions on Graphics Processors

Bingsheng He, Jeffrey Xu Yu

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Tags: Computer science, CUDA, Databases, nVidia, Optimization, Tesla C1060

March 17, 2011 by hgpu

nVidia GeForce 7950 GT

Tags: nVidia, nVidia GeForce 7950 GT, nVidia GeForce 7xxx

March 17, 2011 by hgpu

nVidia GeForce 7950 GX2

Tags: nVidia, nVidia GeForce 7950 GX2, nVidia GeForce 7xxx

March 17, 2011 by hgpu

nVidia GeForce 8400 GS

Tags: nVidia, nVidia GeForce 8400 GS, nVidia GeForce 8xxx

March 17, 2011 by hgpu

nVidia GeForce 8500 GT

Tags: nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8xxx

March 17, 2011 by hgpu

nVidia GeForce 8600 GT

Tags: nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8xxx

March 17, 2011 by hgpu

nVidia GeForce 8600 GTS

Tags: nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8xxx

March 17, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Implementation of algorithms with a fine-grained parallelism on GPUs

Live, Video-Rate Super-Resolution Microscopy Using Structured Illumination and Rapid GPU-Based Parallel Processing

Performance analysis of single-phase, multiphase, and multicomponent lattice-Boltzmann fluid flow simulations on GPU clusters

Memory-Scalable GPU Spatial Hierarchy Construction

CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography

High-Throughput Transaction Executions on Graphics Processors

nVidia GeForce 7950 GT

nVidia GeForce 7950 GX2

nVidia GeForce 8400 GS

nVidia GeForce 8500 GT

nVidia GeForce 8600 GT

nVidia GeForce 8600 GTS

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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