high performance computing on graphics processing units: hgpu.org

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A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures

Shuaiwen Song, Chunyi Su, Barry Rountree, Kirk W. Cameron

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Tags: Biomolecules, Computer science, CUDA, Electrostatics, Energy-efficient computing, GPU cluster, Heterogeneous systems, Machine learning, nVidia, Tesla C2075, Tesla M2090

February 18, 2013 by hgpu

Massively Parallel Computing in Economics

Eric M. Aldrich

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Tags: CUDA, Finance, nVidia, Package, Review, Stochastic simulation, Tesla C2075

February 15, 2013 by hgpu

Validation of the PyGBe code for Poisson-Boltzmann equation with boundary element methods

Christopher Cooper, Lorena A. Barba

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Tags: Bioinformatics, Biophysics, Boltzmann equation, Computational Physics, Computer science, CUDA, Electrostatics, nVidia, Package, Physics, Poisson Boltzmann, Python, Tesla C2075

January 31, 2013 by hgpu

GPUfs: Integrating a File System with GPUs

Mark Silberstein, Bryan Ford, Idit Keidar, Emmett Witchel

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Tags: Computer science, CUDA, nVidia, Operating systems, Tesla C2075

January 26, 2013 by hgpu

On Graphs, GPUs, and Blind Dating: A Workload to Processor Matchmaking Quest

Abdullah Gharaibeh, Lauro Beltrao Costa, Elizeu Santos-Neto, Matei Ripeanu

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2075

January 10, 2013 by hgpu

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Liam Kiemele

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Tags: Compilers, Computer science, nVidia, OpenCL, Package, Performance, Tesla C2075, Thesis

December 20, 2012 by hgpu

Accuracy, Memory, and Speed Strategies in GPU-Based Finite-Element Matrix-Generation

Adam Dziekonski, Piotr Sypek, Adam Lamecki, Michal Mrozowski

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Tags: CUDA, Electrodynamics, FEM, Finite element method, nVidia, Optimization, Tesla C2075

December 16, 2012 by hgpu

Towards Building Error Resilient GPGPU Applications

Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, Programming techniques, Tesla C2075

December 8, 2012 by hgpu

Non-steady relaxation and critical exponents at the depinning transition

Ezequiel E. Ferrero, Sebastian Bustingorry, Alejandro B. Kolton

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Tags: Condensed matter, CUDA, Numerical simulation, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Physics, Statistical Mechanics, Tesla C2075

December 3, 2012 by hgpu

PyFAI, a versatile library for azimuthal regrouping

Jerome Kieffer, Dimitrios Karkoulis

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Tags: ATI, ATI FirePro V7800, Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Python, Tesla C2075

November 25, 2012 by hgpu

GPU Implementation of Fuzzy Anisotropic Diffusion

Roberto de Jesus Duarte Coello, Felipe de Jesus Solis Lugo, Alejandro Castillo Atoche, Jaime Ortegon Aguilar

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Tags: Algorithms, CUDA, Image processing, nVidia, Tesla C2075

November 22, 2012 by hgpu

Beam Dynamics Simulations Using GPUs

J. Fitzek, S. Appel, O. Boine-Frankenheim

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Tags: CUDA, Data parallelism, MPI, nVidia, Physics, Tesla C2075

October 30, 2012 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

A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures

Massively Parallel Computing in Economics

Validation of the PyGBe code for Poisson-Boltzmann equation with boundary element methods

GPUfs: Integrating a File System with GPUs

On Graphs, GPUs, and Blind Dating: A Workload to Processor Matchmaking Quest

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Accuracy, Memory, and Speed Strategies in GPU-Based Finite-Element Matrix-Generation

Towards Building Error Resilient GPGPU Applications

Non-steady relaxation and critical exponents at the depinning transition

PyFAI, a versatile library for azimuthal regrouping

GPU Implementation of Fuzzy Anisotropic Diffusion

Beam Dynamics Simulations Using GPUs

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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