high performance computing on graphics processing units: hgpu.org

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An abstract object oriented runtime system for heterogeneous parallel architecture

Jean-Marc Gratien

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Tesla C2070, Tesla T10

February 20, 2013 by hgpu

Evaluation of Standardized Password-based Key Derivation against Parallel Processing Platforms

Markus Durmuth, Tim Guneysu, Markus Kasper, Christof Paar, Tolga Yalcin, Ralf Zimmermann

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Tags: Computer science, CUDA, FPGA, GPU cluster, nVidia, Review, Security, Tesla C2070

February 14, 2013 by hgpu

Parallel Unsmoothed Aggregation Algebraic Multigrid Algorithms on GPUs

James Brannick, Yao Chen, Xiaozhe Hu, Ludmil Zikatanov

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Tags: CUDA, Mathematics, Numerical Analysis, nVidia, Tesla C2070

February 12, 2013 by hgpu

Distributed multi-node, multi-GPU, heterogeneous system for 3D image reconstruction in Electrical Capacitance Tomography – network performance and application analysis

Pawel Kapusta, Michal Majchrowicz, Dominik Sankowski, Lidia Jackowska-Strumillo, Robert Banasiak

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Tags: ATI, ATI Radeon HD 5970, FEM, Finite element method, Heterogeneous systems, Image processing, Image reconstruction, Linear Algebra, Medicine, nVidia, Tesla C2070, Tesla S1070, Tomography

February 9, 2013 by hgpu

Real-Time Phase Masks for Interactive Stimulation of Optogenetic Neurons

Stephan C. Kramer, Johannes Hagemann, D. Russell Luke

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Tags: Biology, CUDA, Mathematics, Neurons and Cognition, nVidia, Optimization, Tesla C2070

February 5, 2013 by hgpu

Portable Performance on Heterogeneous Architectures

Phitchaya Mangpo Phothilimthana, Jason Ansel, Jonathan Ragan-Kelley, Saman Amarasinghe

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Tags: Artificial intelligence, ATI, ATI Radeon HD 6630 M, Compilers, Computer science, CUDA, Heterogeneous systems, Memory model, nVidia, OpenCL, Performance, Tesla C2070

February 2, 2013 by hgpu

Improving GPGPU Concurrency with Elastic Kernels

Sreepathi Pai, Matthew J. Thazhuthaveetil, R. Govindarajan

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2070

February 2, 2013 by hgpu

The Physics of Singular Dislocation Structures in Continuum Dislocation Dynamics

Woosong Choi

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Tags: CUDA, Materials Science, nVidia, Physics, Tesla C2070, Thesis

January 31, 2013 by hgpu

Faster Algorithms for RNA-folding using the Four-Russians method

Balaji Venkatachalam, Yelena Frid, Dan Gusfield

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 550 Ti, RNA, Tesla C2070

January 30, 2013 by hgpu

Vlasov on GPU (VOG Project)

M. Mehrenberger, C. Steiner, L. Marradi, N. Crouseilles, E. Sonnendrucker, B. Afeyan

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Tags: FFT, Numerical simulation, nVidia, nVidia GeForce 9400 M, nVidia GeForce GTX 470, OpenCL, Physics, Plasma physics, Tesla C2070

January 25, 2013 by hgpu

The effects of nutrient chemotaxis on bacterial aggregation patterns with non-linear degenerate cross diffusion

J. Francisco Leyva, Carlos Malaga, Ramon G. Plaza

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Tags: Biological Physics, Biology, CUDA, Numerical simulation, nVidia, Tesla C2070

January 23, 2013 by hgpu

Accelerating Image Reconstruction in Dual-Head PET System by GPU and Symmetry Properties

Cheng-Ying Chou, Yun Dong, Yukai Hung, Yu-Jiun Kao, Weichung Wang, Chien-Min Kao, Chin-Tu Chen

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Tags: Algorithms, CUDA, Image processing, Image reconstruction, Medicine, nVidia, PET, Tesla C2070, Tomography

January 20, 2013 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

An abstract object oriented runtime system for heterogeneous parallel architecture

Evaluation of Standardized Password-based Key Derivation against Parallel Processing Platforms

Parallel Unsmoothed Aggregation Algebraic Multigrid Algorithms on GPUs

Distributed multi-node, multi-GPU, heterogeneous system for 3D image reconstruction in Electrical Capacitance Tomography – network performance and application analysis

Real-Time Phase Masks for Interactive Stimulation of Optogenetic Neurons

Portable Performance on Heterogeneous Architectures

Improving GPGPU Concurrency with Elastic Kernels

The Physics of Singular Dislocation Structures in Continuum Dislocation Dynamics

Faster Algorithms for RNA-folding using the Four-Russians method

Vlasov on GPU (VOG Project)

The effects of nutrient chemotaxis on bacterial aggregation patterns with non-linear degenerate cross diffusion

Accelerating Image Reconstruction in Dual-Head PET System by GPU and Symmetry Properties

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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