high performance computing on graphics processing units: hgpu.org

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GRace: a low-overhead mechanism for detecting data races in GPU programs

Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal

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Tags: Algorithms, Computer science, CUDA, nVidia, Programming techniques, Tesla C1060

August 20, 2011 by hgpu

Parallel 3D multigrid methods on the STI cell BE architecture

Fabian Oboril, Jan-Philipp Weiss, Vincent Heuveline

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Tags: Cell processor, Computer science, nVidia, nVidia GeForce GTX 280, OpenCL, Performance

August 20, 2011 by hgpu

A framework for dynamically instrumenting GPU compute applications within GPU Ocelot

Naila Farooqui, Andrew Kerr, Gregory Diamos, S. Yalamanchili, K. Schwan

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Programming Languages, PTX

August 19, 2011 by hgpu

Extending abstract GPU APIs to shared memory

Ferosh Jacob

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenCL, OpenMP, Presentation, Programming Languages, Programming techniques

August 19, 2011 by hgpu

A cluster for CS education in the manycore era

Joel C. Adams, Kathy Hoobeboom, Jonathan Walz

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, nVidia, OpenCL, OpenMP, OpenMPI, Performance

August 19, 2011 by hgpu

Benchmarking and modelling of POWER7, Westmere, BG/P, and GPUs: an industry case study

J. A. Herdman, W. P. Gaudin, D. Turland, S. D. Hammond

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, MPI, nVidia, nVidia GeForce GTX 285, OpenCL, Performance, Tesla C1060

August 19, 2011 by hgpu

Real-time rendering and dynamic updating of 3-d volumetric data

Andrew Miller, Vishal Jain, Joseph L. Mundy

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Tags: ATI, ATI Radeon HD 5870, Computer science, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL, Rendering

August 19, 2011 by hgpu

Caracal: dynamic translation of runtime environments for GPUs

Rodrigo Dominguez, Dana Schaa, David Kaeli

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 5870, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Performance, Programming Languages, PTX

August 19, 2011 by hgpu

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

Usman Dastgeer, Johan Enmyren, Christoph W. Kessler

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Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 19, 2011 by hgpu

SkePU: a multi-backend skeleton programming library for multi-GPU systems

Johan Enmyren, Christoph W. Kessler

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Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 18, 2011 by hgpu

Energy-aware metrics for benchmarking heterogeneous systems

Simon McIntosh-Smith, Terry Wilson, Jon Crisp, Amaurys Avila Ibarra, Richard B. Sessions

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Tags: Benchmarking, Computer science, Energy-efficient computing, Heterogeneous systems, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Tesla C2050

August 18, 2011 by hgpu

Maestro: Data Orchestration and Tuning for OpenCL Devices

Kyle Spafford, Jeremy Meredith, Jeffrey Vetter

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Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Performance, Tesla C1060, Tesla S1070

August 18, 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

GRace: a low-overhead mechanism for detecting data races in GPU programs

Parallel 3D multigrid methods on the STI cell BE architecture

A framework for dynamically instrumenting GPU compute applications within GPU Ocelot

Extending abstract GPU APIs to shared memory

A cluster for CS education in the manycore era

Benchmarking and modelling of POWER7, Westmere, BG/P, and GPUs: an industry case study

Real-time rendering and dynamic updating of 3-d volumetric data

Caracal: dynamic translation of runtime environments for GPUs

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

SkePU: a multi-backend skeleton programming library for multi-GPU systems

Energy-aware metrics for benchmarking heterogeneous systems

Maestro: Data Orchestration and Tuning for OpenCL Devices

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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