high performance computing on graphics processing units: hgpu.org

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A Memory-Efficient Algorithm for Large-Scale Symmetric Tridiagonal Eigenvalue Problem on Multi-GPU Systems

Hyunsu Cho, Peter A. Yoon

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Package, Tesla K20

August 11, 2014 by hgpu

Parallel Breadth First Search on GPU Clusters

Zhisong Fu, Harish Kumar Dasari, Martin Berzins, Bryan Thompson

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Graph theory, Network communications, nVidia, Package, Tesla K20

August 11, 2014 by hgpu

Faster sequence alignment through GPU-accelerated restriction of the seed-and-extend search space

Richard Wilton, Tamas Budavari, Ben Langmead, Sarah Wheelan, Steven L. Salzberg, Alex Szalay

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Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Tesla K20

August 10, 2014 by hgpu

Parallel Distributed Breadth First Search on the Kepler Architecture

Mauro Bisson, Massimo Bernaschi, Enrico Mastrostefano

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Tags: Computer science, CUDA, Distributed computing, Graph theory, nVidia, Tesla K20

August 9, 2014 by hgpu

Accelerating Krylov Subspace Solvers on Graphics Processing Units

Hartwig Anzt, Stanimire Tomov, Piotr Luszczek, Ichitaro Yamazaki, Jack Dongarra, William Sawyer

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Sparse matrix, Tesla K20

August 3, 2014 by hgpu

Extending Lyapack for the Solution of Band Lyapunov Equations on Hybrid CPU-GPU Platforms

Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Enrique S. Quintana-Orti, Alfredo Remon

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Tags: CUDA, Linear Algebra, Mathematics, nVidia, Tesla K20, Tesla S2070

August 3, 2014 by hgpu

Multi-Threaded Automatic Integration Using OpenMP and CUDA

Rida Assaf

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Tags: Computational finance, Computer science, CUDA, Finance, Monte Carlo integration, nVidia, OpenMP, Physics, Tesla K20, Thesis

August 3, 2014 by hgpu

Extracting Maximal Exact Matches on GPU

Anas Abu-Doleh, Kamer Kaya, Mohamed Abouelhoda, Umit V. Catalyurek

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, Indexing, nVidia, Suffix trees, Tesla K20

August 2, 2014 by hgpu

A Scalable Approach to Solving Dense Linear Algebra Problems on Hybrid CPU-GPU Systems

Fengguang Song, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, nVidia, Tesla K20

August 1, 2014 by hgpu

Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

D. C. Price, M. A. Clark, B. R. Barsdell, R. Babich, L. J. Greenhill

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Tags: Astrophysics, CUDA, Energy-efficient computing, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 780, Package, Performance, Signal processing, Tesla K20

August 1, 2014 by hgpu

Discriminative Convolutional Sum-Product Networks on GPU

Tobias Hartmann

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Tags: Algorithms, Benchmarking, Computer science, Computer vision, CUDA, Neural networks, nVidia, Tesla K20, Thesis

August 1, 2014 by hgpu

Mixed-precision orthogonalization scheme and its case studies with CA-GMRES on a GPU

Ichitaro Yamazaki, Stanimire Tomov, Tingxing Dong, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Mixed precision, nVidia, Tesla K20, Tesla K40, Tesla M2090

July 29, 2014 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

A Memory-Efficient Algorithm for Large-Scale Symmetric Tridiagonal Eigenvalue Problem on Multi-GPU Systems

Parallel Breadth First Search on GPU Clusters

Faster sequence alignment through GPU-accelerated restriction of the seed-and-extend search space

Parallel Distributed Breadth First Search on the Kepler Architecture

Accelerating Krylov Subspace Solvers on Graphics Processing Units

Extending Lyapack for the Solution of Band Lyapunov Equations on Hybrid CPU-GPU Platforms

Multi-Threaded Automatic Integration Using OpenMP and CUDA

Extracting Maximal Exact Matches on GPU

A Scalable Approach to Solving Dense Linear Algebra Problems on Hybrid CPU-GPU Systems

Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

Discriminative Convolutional Sum-Product Networks on GPU

Mixed-precision orthogonalization scheme and its case studies with CA-GMRES on a GPU

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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