high performance computing on graphics processing units: hgpu.org

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Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Kyungjoo Kim, Victor Eijkhout, Robert A. van de Geijn

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Tags: Computer science, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5800, Package, Tesla M2070, Tesla S1070

August 13, 2012 by hgpu

Multi-GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional q-state Potts model

Yukihiro Komura, Yutaka Okabe

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Tags: Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2050

August 13, 2012 by hgpu

Real-Time Implementation of Remotely Sensed Hyperspectral Image Unmixing on GPUs

Sergio Sanchez, Rui Ramalho, Leonel Sousa, Antonio Plaza

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Sensing

August 11, 2012 by hgpu

Designing OP2 for GPU architectures

M.B. Giles, G.R. Mudalige, B. Spencer, C. Bertolli, I. Reguly

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Tags: Computer science, nVidia, nVidia GeForce GTX 560 Ti, Optimization, Package, Performance, Tesla C2070

August 11, 2012 by hgpu

Compiler Optimizations for Industrial Unstructured Mesh CFD Applications on GPUs

C. Bertolli, A. Betts, N. Loriant, G. R. Mudalige, D. Radford, M. B. Giles, P. H.J. Kelly

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Tags: CUDA, Fluid dynamics, nVidia, Tesla C2070

August 11, 2012 by hgpu

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

G.R. Mudalige, M.B. Giles, I. Reguly, C. Bertolli, P.H.J Kelly

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050, Tesla C2070

August 11, 2012 by hgpu

Large Scale Monte Carlo Tree Search on GPU

Kamil Marek Rocki

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Games, nVidia, Optimization, Search, Tesla C2050, Thesis

August 11, 2012 by hgpu

Weighted Block-Asynchronous Iteration on GPU-Accelerated Systems

Hartwig Anzt, Stanimire Tomov, Jack Dongarra, Vincent Heuveline

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2050

August 10, 2012 by hgpu

Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Ahmad Abdelfattah, Jack Dongarra, David Keyes, Hatem Ltaief

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Tags: Computer science, CUBLAS, CUDA, nVidia, Optimization, Package, Tesla C2070

August 10, 2012 by hgpu

Fine-Granular Parallel EBCOT and Optimization with CUDA for Digital Cinema Image Compression

Fang Wei, Qiu Cui, Ye Li

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Tags: Algorithms, Compression, CUDA, Image processing, JPEG2000, nVidia, nVidia GeForce GT 240, Optimization

August 10, 2012 by hgpu

Development of a GPU-accelerated MIKE 21 Solver for Water Wave Dynamics

Peter Edward Aackermann, Peter J. Dinesen Pedersen

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Tags: Algorithms, CUDA, Differential equations, Fluid dynamics, nVidia, nVidia GeForce GTX 590, Partial differential equations, PDEs, Thesis

August 10, 2012 by hgpu

Block-Relaxation Methods for 3D Constant-Coefficient Stencils on GPUs and Multicore CPUs

Manuel Rodriguez Rodriguez, Bobby Philip, Zhen Wang, Mark Berrill

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla C2050, Tesla X2090

August 10, 2012 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

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Multi-GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional q-state Potts model

Real-Time Implementation of Remotely Sensed Hyperspectral Image Unmixing on GPUs

Designing OP2 for GPU architectures

Compiler Optimizations for Industrial Unstructured Mesh CFD Applications on GPUs

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

Large Scale Monte Carlo Tree Search on GPU

Weighted Block-Asynchronous Iteration on GPU-Accelerated Systems

Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Fine-Granular Parallel EBCOT and Optimization with CUDA for Digital Cinema Image Compression

Development of a GPU-accelerated MIKE 21 Solver for Water Wave Dynamics

Block-Relaxation Methods for 3D Constant-Coefficient Stencils on GPUs and Multicore CPUs

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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