high performance computing on graphics processing units: hgpu.org

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Optimizing All-to-All and Allgather Communications on GPGPU Clusters

Ashish Kumar Singh

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Tesla C2050, Thesis

July 14, 2012 by hgpu

High-Performance Symmetric Block Ciphers on Multicore CPU and GPUs

Naoki Nishikawa, Keisuke Iwai, Takakazu Kurokawa

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Tags: Algorithms, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security, Tesla C2050

July 12, 2012 by hgpu

Fast Algorithms for the Solution of Stochastic Partial Differential Equations

Christopher William Miller

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla C2050

July 11, 2012 by hgpu

Stencil-Aware GPU Optimization of Iterative Solvers

Chekuri Choudary, Jeswin Godwin, Justin Holewinski, Deepan Karthik, Daniel Lowell, Azamat Mametjanov, Boyana Norris, Gerald Sabin, P. Sadayappan

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Tags: Computer science, CUDA, Differential equations, nVidia, Optimization, Partial differential equations, PDEs, Sparse matrix, Tesla C2050, Tesla M2070

July 11, 2012 by hgpu

Hybrid Monte Carlo with Wilson Dirac operator on the Fermi GPU

Abhijit Chakrabarty, Pushan Majumdar

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, Tesla C2050, Tesla X2090

July 11, 2012 by hgpu

Runtime Systems and Scheduling Support for High-End CPU-GPU Architectures

Vignesh Trichy Ravi

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Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Thesis

July 10, 2012 by hgpu

Efficient Parallel RSA Decryption Algorithm for Many-core GPUs with CUDA

Yu-Shiang Lin, Chun-Yuan Lin, Der-Chyuan Lou

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Security, Tesla C2050, Tesla S1070

July 7, 2012 by hgpu

GPU Parallelization of an Unstructured Overset Grid Incompressible Navier-Stokes Solver for Moving Bodies

Dominic D.J. Chandar, Jay Sitaraman, Dimitri Mavriplis

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Tags: Algorithms, CUDA, Fluid dynamics, Laplace and Poisson equation, MPI, nVidia, Tesla C2050

July 4, 2012 by hgpu

Automatic Optimization of In-Flight Memory Transactions for GPU Accelerators based on a Domain-Specific Language for Medical Imaging

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: Code generation, CUDA, Image processing, nVidia, OpenCL, Optimization, Package, Tesla C2050

July 3, 2012 by hgpu

High-performance blob-based iterative three-dimensional reconstruction in electron tomography using multi-GPUs

Xiaohua Wan, Fa Zhang, Qi Chu, Zhiyong Liu

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Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 295, Tesla C2050, Tomography

June 30, 2012 by hgpu

Accelerating large-scale protein structure alignments with graphics processing units

Bin Pang, Nan Zhao, Michela Becchi, Dmitry Korkin, Chi-Ren Shyu

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Tags: Bioinformatics, Biology, CUDA, Java, nVidia, Package, Tesla C2050

June 30, 2012 by hgpu

GPU Implementation of the Branch and Bound method for knapsack problems

Mohamed Esseghir Lalami, Didier El-Baz

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Tags: Computer science, CUDA, Hybrid computing, nVidia, Optimization, Tesla C2050

June 25, 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

Optimizing All-to-All and Allgather Communications on GPGPU Clusters

High-Performance Symmetric Block Ciphers on Multicore CPU and GPUs

Fast Algorithms for the Solution of Stochastic Partial Differential Equations

Stencil-Aware GPU Optimization of Iterative Solvers

Hybrid Monte Carlo with Wilson Dirac operator on the Fermi GPU

Efficient Parallel RSA Decryption Algorithm for Many-core GPUs with CUDA

GPU Parallelization of an Unstructured Overset Grid Incompressible Navier-Stokes Solver for Moving Bodies

Automatic Optimization of In-Flight Memory Transactions for GPU Accelerators based on a Domain-Specific Language for Medical Imaging

High-performance blob-based iterative three-dimensional reconstruction in electron tomography using multi-GPUs

Accelerating large-scale protein structure alignments with graphics processing units

GPU Implementation of the Branch and Bound method for knapsack problems

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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