high performance computing on graphics processing units: hgpu.org

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IceCubes GPGPU’s cluster for extensive MC production

Martin Merck, Dmitry Chirkin, Juan Carlos Diaz Velez, Heath Skarlupka

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Tags: Computational Physics, CUDA, GPU cluster, Monte Carlo simulation, Nuclear physics, nVidia, Particle physics and field theory, Physics, Raytracing, Tesla M2070

December 20, 2012 by hgpu

A Static Load Balancing Scheme for Parallel Volume Rendering on Multi-GPU Clusters

Shusen Liu, Venkatram Vishwanath, Joseph Insley, Mark Hereld, Michael E. Papka, Valerio Pascucci

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Tags: Computer science, CUDA, GPU cluster, nVidia, Rendering, Tesla M2070

December 14, 2012 by hgpu

Hybrid Parallel Streamline Extraction Combining MPI and OpenCL

Michael Vetter, Stephan Olbrich

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Tags: Computer science, MPI, Numerical Analysis, nVidia, OpenCL, Tesla M2070, Visualization

December 12, 2012 by hgpu

Matrix-Matrix Multiplications on GPUs for Accelerating a Parallel Fluid Dynamics Code

Kenneth Webster

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Tags: CUBLAS, CUDA, Fluid dynamics, Matrix multiplication, nVidia, Tesla M2070, Thesis

December 12, 2012 by hgpu

GPU implementation of epidemiological behaviour in large social networks

Sairam K M Menon, P K Baruah, Matija Sosic

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Tags: Computer science, Condensed matter, CUDA, nVidia, Tesla M2070

December 10, 2012 by hgpu

A computationally efficient and scalable approach for privacy preserving kNN classification

Sairam Ravu, P. R. Neelakandan, M. R. Gorai, R. Mukkamala, P. K. Baruah

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Tags: Algorithms, Bloom filter, Computer science, CUDA, Data mining, nVidia, Tesla M2070

December 8, 2012 by hgpu

FIELA: A Fast Image Encryption with Lorenz Attractor using Hybrid Computing

P Kranthi Kumar, B V Nagendra Prasad, Gelli MBSS Kumar, V. Chandrasekaran, P.K.Baruah

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Tags: Computer science, CUDA, Hybrid computing, nVidia, Security, Tesla M2070

December 2, 2012 by hgpu

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Li-Wen Chang, John A. Stratton, Hee-Seok Kim, Wen-Mei W. Hwu

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 480, Package, Tesla M2070

November 20, 2012 by hgpu

Accelerated molecular dynamics force evaluation on graphics processing units for thermal conductivity calculations

Zheyong Fan, Topi Siro, Ari Harju

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Tags: Computational Physics, Condensed matter, CUDA, Materials Science, Molecular dynamics, nVidia, Physics, Tesla M2070

November 19, 2012 by hgpu

Resolving the conflict between generality and plausibility in verified computation

Srinath Setty, Benjamin Braun, Victor Vu, Andrew J. Blumberg, Bryan Parno, Michael Walfish

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Tags: Computer science, CUDA, nVidia, Security, Tesla M2070

November 15, 2012 by hgpu

Hybrid MPI/GPU Interpolation for Grid DEM Construction

Andrew Danner, Jake Baskin, Alexander Breslow, David Wilikofsky

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Tags: Computer science, CUDA, MPI, Nearest neighbour, nVidia, Performance, Sensing, Tesla M2070

October 22, 2012 by hgpu

Design and Performance Evaluation of a Software Framework for Multi-Physics Simulations on Heterogeneous Supercomputers

Christian Feichtinger

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Tags: CUDA, Fluid dynamics, GPU cluster, Heterogeneous systems, Lattice Boltzmann model, MPI, Numerical simulation, nVidia, Tesla M2050, Tesla M2070, Thesis

October 17, 2012 by hgpu

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

IceCubes GPGPU’s cluster for extensive MC production

A Static Load Balancing Scheme for Parallel Volume Rendering on Multi-GPU Clusters

Hybrid Parallel Streamline Extraction Combining MPI and OpenCL

Matrix-Matrix Multiplications on GPUs for Accelerating a Parallel Fluid Dynamics Code

GPU implementation of epidemiological behaviour in large social networks

A computationally efficient and scalable approach for privacy preserving kNN classification

FIELA: A Fast Image Encryption with Lorenz Attractor using Hybrid Computing

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Accelerated molecular dynamics force evaluation on graphics processing units for thermal conductivity calculations

Resolving the conflict between generality and plausibility in verified computation

Hybrid MPI/GPU Interpolation for Grid DEM Construction

Design and Performance Evaluation of a Software Framework for Multi-Physics Simulations on Heterogeneous Supercomputers

Recent source codes

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

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

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