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Accelerating the Gillespie Exact Stochastic Simulation Algorithm Using Hybrid Parallel Execution on Graphics Processing Units

Ivan Komarov, Roshan M. D'Souza

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Tags: Computer science, Differential equations, nVidia, nVidia GeForce GTX 480, Stochastic simulation

November 15, 2012 by hgpu

Load Balanced Parallel GPU Out-of-Core for Continuous LOD Model Visualization

Chao Peng, Peng Mi, Yong Cao

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenGL, Rendering, Visualization

November 14, 2012 by hgpu

Performance modeling of atomic additions on GPU scratchpad memory

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Nicolas Guil

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Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Optimization

November 14, 2012 by hgpu

A simple method to accelerate fringe analysis algorithms based on graphics processing unit and MATLAB

Wenjing Gao, Qian Kemao

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 285

November 14, 2012 by hgpu

Correctly rounding elementary functions on GPU

Pierre Fortin, Mourad Gouicem, Stef Graillat

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Tags: Algorithms, Computer science, CUDA, Elementary functions, nVidia, Tesla C2070

November 14, 2012 by hgpu

Efficient similarity search on multimedia databases

Mariela Lopresti, Natalia Miranda, Fabiana Piccoli, Nora Reyes

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 330 M, nVidia GeForce GTX 470, nVidia GeForce GTX 550 Ti

November 14, 2012 by hgpu

Real-Time Scheduling Using GPUs – Advanced and More Accurate Proof of Feasibility

Peter Fodrek, Ludovit Farkas, Michal Blaho, Martin Foltin, Juraj Hnat, Tomas Murgas

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Tags: Benchmarking, Computer science, OpenCL, Performance, Task scheduling

November 14, 2012 by hgpu

Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation

Haicheng Wu, Gregory Diamos, Srihari Cadambi, Sudhakar Yalamanchili

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

November 14, 2012 by hgpu

A parallel method for tuning Fuzzy TSK Systems with CUDA

Bruno B. Ferreira, Adriano J. O. Cruz

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 550 Ti, nVidia GeForce GTX 590, Tesla C2070

November 11, 2012 by hgpu

Sigma*: Symbolic Learning of Input-Output Specifications

Matko Botincan, Domagoj Babic

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Programming Languages

November 10, 2012 by hgpu

Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python

Cyrus Harrison, Paul Navratil, Maysam Moussalem, Ming Jiang, Hank Childs

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Tags: Computer science, nVidia, OpenCL, Python, Tesla M2050, Visualization

November 10, 2012 by hgpu

Architectural Considerations for Compiler-guided Unroll-and-Jam of CUDA Kernels

Apan Qasem

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Tags: Compilers, Computer science, CUDA, Memory model, nVidia, nVidia GeForce 9800 GT, Tesla C2050

November 8, 2012 by hgpu

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

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

See all packages

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high performance computing on graphics processing units: hgpu.org

Accelerating the Gillespie Exact Stochastic Simulation Algorithm Using Hybrid Parallel Execution on Graphics Processing Units

Load Balanced Parallel GPU Out-of-Core for Continuous LOD Model Visualization

Performance modeling of atomic additions on GPU scratchpad memory

A simple method to accelerate fringe analysis algorithms based on graphics processing unit and MATLAB

Correctly rounding elementary functions on GPU

Efficient similarity search on multimedia databases

Real-Time Scheduling Using GPUs – Advanced and More Accurate Proof of Feasibility

Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation

A parallel method for tuning Fuzzy TSK Systems with CUDA

Sigma*: Symbolic Learning of Input-Output Specifications

Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python

Architectural Considerations for Compiler-guided Unroll-and-Jam of CUDA Kernels

Recent source codes

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

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

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