high performance computing on graphics processing units: hgpu.org

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GPGPU Volume Classification using SimpleOpenCL

Oscar Amoros, Sergio Escalera, Anna Puig, Maria Salamo

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Tags: Computer science, nVidia, nVidia GeForce GTX 470, OpenCL, Package, Visualization

November 29, 2011 by hgpu

Efficient Parallel Nonnegative Least Squares on Multicore Architectures

Yuancheng Luo, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Factorization, Nonnegative matrix factorization, nVidia, Package, Tesla C2050

November 28, 2011 by hgpu

Towards paradisEO-MO-GPU: a framework for GPU-based local search metaheuristics

N. Melab, T-V. Luong, K. Boufaras, E-G. Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 480, Package

November 27, 2011 by hgpu

An Explicit Algorithm for Porous Media Flow Simulation using GPUs

D.N. Morozov, B.N. Chetverushkin, N.G. Churbanova, M.A. Trapeznikova

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Tags: Algorithms, CUDA, Finite difference, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 295, Package

November 24, 2011 by hgpu

Accelerating QDP++/Chroma on GPUs

Frank Winter

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Tags: CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, Package, Physics, QCD, Tesla C2070

November 24, 2011 by hgpu

Dynamic adaptation and distribution of binaries to heterogeneous architectures

Espen Angell Kristiansen

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 280, OpenCL, Package, Playstation, Thesis

November 22, 2011 by hgpu

Application of GPGPU for Acceleration of Short DNA Sequence Alignment in Unipro UGENE Project

Konstantin Okonechinkov, German Grekhov, Konstantin Stepanyuk, Mikhail Fursov

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Tags: Algorithms, Bioinformatics, Biology, nVidia, OpenCL, Package, Sequence alignment, Tesla C1060, Tesla C2070

November 22, 2011 by hgpu

Conflux: Embedding Massively Parallel Semantics in a High-Level Programming Language

Eugene Burmako, Rauf Sadykhov

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Tags: Algorithms, Computer science, CUDA, High-level Languages, nVidia, Package

November 21, 2011 by hgpu

PATUS: A Code Generation and Autotuning Framework For Parallel Iterative Stencil Computations on Modern Microarchitectures

Matthias Christen, Olaf Schenk, Helmar Burkhart

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Tags: Code generation, Computer science, Java, nVidia, Optimization, Package, Tesla C2050

November 21, 2011 by hgpu

Implementing a Finite Difference-Based Real-time Sound Synthesizer using GPUs

Marc Sosnick, William Hsu

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Tags: Acoustics, Algorithms, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GT 330 M, Package, Physics

November 20, 2011 by hgpu

Autotuning GEMMs for Fermi

Jakub Kurzak, Stanimire Tomov, Jack Dongarra

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Tags: Benchmarking, BLAS, Computer science, CUDA, Linear Algebra, Mathematical Software, Matrix multiplication, nVidia, Package, Tesla S2050

November 20, 2011 by hgpu

Optimizing Symmetric Dense Matrix-Vector Multiplication on GPUs

Rajib Nath, Stanimire Tomov, Tingxing "Tim" Dong, Jack Dongarra

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Package, Performance, Tesla C2050

November 20, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

See all packages

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high performance computing on graphics processing units: hgpu.org

GPGPU Volume Classification using SimpleOpenCL

Efficient Parallel Nonnegative Least Squares on Multicore Architectures

Towards paradisEO-MO-GPU: a framework for GPU-based local search metaheuristics

An Explicit Algorithm for Porous Media Flow Simulation using GPUs

Accelerating QDP++/Chroma on GPUs

Dynamic adaptation and distribution of binaries to heterogeneous architectures

Application of GPGPU for Acceleration of Short DNA Sequence Alignment in Unipro UGENE Project

Conflux: Embedding Massively Parallel Semantics in a High-Level Programming Language

PATUS: A Code Generation and Autotuning Framework For Parallel Iterative Stencil Computations on Modern Microarchitectures

Implementing a Finite Difference-Based Real-time Sound Synthesizer using GPUs

Autotuning GEMMs for Fermi

Optimizing Symmetric Dense Matrix-Vector Multiplication on GPUs

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

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