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Parallel Prefix Sum (Scan) with CUDA

Mark Harris, Shubhabrata Sengupta, John D. Owens

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Visualization

January 9, 2011 by hgpu

A study on tetrahedron-based inhomogeneous Monte Carlo optical simulation

Haiou Shen, Ge Wang

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Tags: CUDA, Monte Carlo simulation, nVidia, Optics, Physics, Tesla C1060

January 9, 2011 by hgpu

Real-time object detection on CUDA

Adam Herout, Radovan Josth, Roman Juranek, Jiri Havel, Michal Hradis, Pavel Zemcik

Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 9800 GTX, Pattern recognition

January 9, 2011 by hgpu

Evaluation and tuning of the Level 3 CUBLAS for graphics processors

S. Barrachina, M. Castillo, F. D. Igual, R. Mayo, E. S. Quintana-Orti

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 Ultra

January 9, 2011 by hgpu

Parallel programming for multimedia applications

Hari Kalva, Aleksandar Colic, Adriana Garcia, Borko Furht

Tags: Computer science, CUDA, nVidia, OpenMP, Programming techniques

January 9, 2011 by hgpu

A new approach to the lattice Boltzmann method for graphics processing units

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GT 200

January 9, 2011 by hgpu

High-throughput bayesian computing machine with reconfigurable hardware

Mingjie Lin, Ilia Lebedev, John Wawrzynek

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Tags: Bayesian, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9400 M

January 9, 2011 by hgpu

Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems

Antonio Plaza, Javier Plaza, Hugo Vegas

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Tags: CUDA, FPGA, Image processing, MPI, nVidia, nVidia GeForce 8800 GTX, Signal processing

January 9, 2011 by hgpu

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Wen-mei Hwu

Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Programming techniques

January 9, 2011 by hgpu

Acceleration of FDTD mode solver by high-performance computing techniques

Lin Han, Yanping Xi, Wei-Ping Huang

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Tags: CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 295, Optics, Physics

January 8, 2011 by hgpu

CBESW: sequence alignment on the Playstation 3

Adrianto Wirawan, Chee Keong K. Kwoh, Nim Tri T. Hieu, Bertil Schmidt

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Tags: Algorithms, Bioinformatics, Biology, BLAST, Cell processor, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Playstation, Sequence alignment, Smith-Waterman algorithm

January 8, 2011 by hgpu

Four styles of parallel and net programming

Zhiwei Xu, Yongqiang He, Wei Lin, Li Zha

Tags: Computer science, CUDA, MapReduce, nVidia, Programming techniques

January 8, 2011 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Parallel Prefix Sum (Scan) with CUDA

A study on tetrahedron-based inhomogeneous Monte Carlo optical simulation

Real-time object detection on CUDA

Evaluation and tuning of the Level 3 CUBLAS for graphics processors

Parallel programming for multimedia applications

A new approach to the lattice Boltzmann method for graphics processing units

High-throughput bayesian computing machine with reconfigurable hardware

Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Acceleration of FDTD mode solver by high-performance computing techniques

CBESW: sequence alignment on the Playstation 3

Four styles of parallel and net programming

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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