high performance computing on graphics processing units: hgpu.org

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Many-core applications to online track reconstruction in HEP experiments

S. Amerio, D. Bastieri, M. Corvo, A. Gianelle, W. Ketchum, T. Liu, A. Lonardo, D. Lucchesi, S. Poprocki, R. Rivera, L. Tosoratto, P. Vicini, P. Wittich

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Tags: CUDA, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, Physics, Tesla K20, Tesla M2050

November 6, 2013 by hgpu

Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems

Marcus Holm, Stefan Engblom, Anders Goude, Sverker Holmgren

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Tags: Computer science, CUDA, Fast multipole method, nVidia, Package, Performance, Tesla M2050

November 6, 2013 by hgpu

Communication Optimization for Multi GPU Implementation of Smith-Waterman Algorithm

Sampath Kumar, P. K. Baruah

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Tags: Algorithms, Biology, Computational biology, CUDA, Databases, nVidia, Sequence matching, Smith-Waterman algorithm, Tesla M2050

November 2, 2013 by hgpu

A Parallel Intermediate Representation for Embedded Languages

Ivar Lang

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Tags: Computer science, Data parallelism, nVidia, OpenCL, Package, Tesla M2050, Thesis

October 10, 2013 by hgpu

Direct deconvolution of radio synthesis images using L1 minimisation

Stephen J. Hardy

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Tags: Astrophysics, CUDA, Image reconstruction, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla M2050

October 10, 2013 by hgpu

Stressing the BER simulation of LDPC codes in the error floor region using GPU clusters

Gabriel Falcao, Joao Andrade, Vitor Silva, Shinichi Yamagiwa, Leonel Sousa

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Tags: Computer science, CUDA, GPU cluster, Monte Carlo simulation, nVidia, Parity-check codes, Tesla M2050

October 8, 2013 by hgpu

GPU Accelerated Conjunction Assessment with Applications to Formation Flight and Space Debris Tracking

Abel Brown, Jason Tichy, Michael Demoret, David Rand

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Tags: CUDA, Earth and Space Sciences, nVidia, Tesla M2050

October 7, 2013 by hgpu

Speculative Execution of Parallel Programs with Precise Exception Semantics on GPUs

Akihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar

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Tags: Code generation, Computer science, Java, nVidia, OpenCL, Tesla M2050

October 5, 2013 by hgpu

Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

Dominik Szalkowski, Przemyslaw Stpiczynski

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Pseudo-random number generators, Tesla M2050

October 1, 2013 by hgpu

GPU-TLS: An Efficient Runtime for Speculative Loop Parallelization on GPUs

Chenggang Zhang, Guodong Han, Cho-Li Wang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance, Tesla M2050

September 27, 2013 by hgpu

Java with Auto-Parallelization on Graphics Coprocessing Architecture

Guodong Han, Chenggang Zhang, King Tin Lam, Cho-Li Wang

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Java, nVidia, Performance, Tesla M2050

September 27, 2013 by hgpu

Accelerating Habanero-Java Programs with OpenCL Generation

Akihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar

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Tags: APU, ATI, ATI Radeon HD 7660, Computer science, Java, nVidia, OpenCL, Tesla M2050

September 22, 2013 by hgpu

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Many-core applications to online track reconstruction in HEP experiments

Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems

Communication Optimization for Multi GPU Implementation of Smith-Waterman Algorithm

A Parallel Intermediate Representation for Embedded Languages

Direct deconvolution of radio synthesis images using L1 minimisation

Stressing the BER simulation of LDPC codes in the error floor region using GPU clusters

GPU Accelerated Conjunction Assessment with Applications to Formation Flight and Space Debris Tracking

Speculative Execution of Parallel Programs with Precise Exception Semantics on GPUs

Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

GPU-TLS: An Efficient Runtime for Speculative Loop Parallelization on GPUs

Java with Auto-Parallelization on Graphics Coprocessing Architecture

Accelerating Habanero-Java Programs with OpenCL Generation

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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