high performance computing on graphics processing units: hgpu.org

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Calculation of Force Field Grids for Molecular Docking Using Graphics Processing Unit

Mikhail A. Farkov

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Tags: Algorithms, Bioinformatics, Biology, CUDA, molecular docking, nVidia, nVidia GeForce GT 440, Tesla K20, Tesla M2090

September 24, 2014 by hgpu

Parallel Multi-dimensional Range Query Processing with R-Trees on GPU

Jinwoong Kim, Beomseok Nam

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Tags: Algorithms, Computer science, CUDA, Databases, Indexing, nVidia, Tesla M2090

September 9, 2014 by hgpu

Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems

Hyungsuk Choi, Woohyuk Choi, Tran Minh Quan, David G. C. Hildebrand, Hanspeter Pfister, Senior Member, Won-Ki Jeong

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Tags: CUDA, GPU cluster, Heterogeneous systems, Image processing, nVidia, Python, Rendering, Tesla M2090, Visualization

August 9, 2014 by hgpu

Scalable and High Performance Betweenness Centrality on the GPU

Adam McLaughlin, David A. Bader

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Tags: Algorithms, Computer science, CUDA, Graph theory, Numerical simulation, nVidia, nVidia GeForce GTX Titan, Package, Tesla M2090

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

Mixed-precision Orthogonalization Scheme and Adaptive Step Size for CA-GMRES on GPUs

Ichitaro Yamazaki, Stanimire Tomov, Tingxing Dong, Jack Dongarra

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Tags: Computer science, Linear Algebra, nVidia, Performance, Tesla K20, Tesla K40, Tesla M2090

July 1, 2014 by hgpu

GPU accelerated Hybrid Tree Algorithm for Collision-less N-body Simulations

Tsuyoshi Watanabe, Naohito Nakasato

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Tags: Algorithms, Astrophysics, GPU cluster, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, OpenCL, Tesla M2090

June 25, 2014 by hgpu

A Fast Mixed-Band Lifting Wavelet Transform on the GPU

Tran Minh Quan, Won-Ki Jeong

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Tags: Compression, CUDA, Discrete Wavelet Transform, Image processing, JPEG2000, MRI, nVidia, Sensing, Tesla M2090

June 20, 2014 by hgpu

Unified Development for Mixed Multi-GPU and Multi-Coprocessor Environments using a Lightweight Runtime Environment

Azzam Haidar, Chongxiao Cao, Asim YarKhan, Piotr Luszczek, Stanimire Tomov, Khairul Kabir, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, Linear Algebra, nVidia, Tesla K20, Tesla M2090

June 14, 2014 by hgpu

LTE Physical Layer Implementation Using GPU Based High Performance Computing

Sangeeta Bhattacharjee, Satyendra Singh Yadav, Sarat Kumar Patra

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Tags: CUDA, FFT, nVidia, Signal processing, Tesla M2090

June 13, 2014 by hgpu

Multi-threaded Kernel Offloading to GPGPU Using Hyper-Q on Kepler Architecture

Florian Wende, Thomas Steinke, Frank Cordes

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla K20, Tesla M2090

June 12, 2014 by hgpu

Adventures in the microlensing cloud: large datasets, eResearch tools, and GPUs

Georgios Vernardos, Christopher J Fluke

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla C2070, Tesla M2090

June 5, 2014 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

Calculation of Force Field Grids for Molecular Docking Using Graphics Processing Unit

Parallel Multi-dimensional Range Query Processing with R-Trees on GPU

Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems

Scalable and High Performance Betweenness Centrality on the GPU

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

Mixed-precision Orthogonalization Scheme and Adaptive Step Size for CA-GMRES on GPUs

GPU accelerated Hybrid Tree Algorithm for Collision-less N-body Simulations

A Fast Mixed-Band Lifting Wavelet Transform on the GPU

Unified Development for Mixed Multi-GPU and Multi-Coprocessor Environments using a Lightweight Runtime Environment

LTE Physical Layer Implementation Using GPU Based High Performance Computing

Multi-threaded Kernel Offloading to GPGPU Using Hyper-Q on Kepler Architecture

Adventures in the microlensing cloud: large datasets, eResearch tools, and 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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