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A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

Jiri Jaros, Petr Pospichal

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 580, Package, Performance

May 2, 2012 by hgpu

Dynamic Kernel/Device Mapping Strategies for GPU-assisted HPC Systems

Jiadong Wu, Weiming Shi, Bo Hong

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Tags: Computer science, CUDA, nVidia, Performance

May 2, 2012 by hgpu

GPU Acceleration for the C++ Standard Template Library

Christian DeLozier

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 570, OpenCL, Package, Programming techniques, Software Engineering

May 2, 2012 by hgpu

Automatic NUMA Characterization using Cbench

Ryan Braithwaite, Wu-chun Feng, Patrick McCormick

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Package, Task scheduling, Tesla C2050

May 2, 2012 by hgpu

OpenCL and the 13 Dwarfs: A Work in Progress

W. Feng, H. Lin, T. Scogland, J. Zhang

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Tags: ATI, ATI Radeon HD 5450, Benchmarking, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 520, OpenCL, Tesla C2050

May 1, 2012 by hgpu

Solving Stochastic Differential Equations Using General Purpose Graphics Processing Unit

Lev Alexandrovich Neiman

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2075

April 28, 2012 by hgpu

High-Performance Code Generation for Stencil Computations on GPU Architectures

Justin Holewinski, Louis-Noel Pouchet, P. Sadayappan

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Tags: Algorithms, ATI, ATI Radeon HD 6550, Code generation, Compilers, Computer science, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, OpenCL, Programming Languages, Programming techniques, Tesla C2050

April 28, 2012 by hgpu

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Optimization, Performance, Tesla C2070

April 28, 2012 by hgpu

Hybrid CPU/GPU KD-Tree Construction for Versatile Ray Tracing

Jean-Patrick Roccia, Mathias Paulin, Christophe Coustet

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 560, Raytracing

April 27, 2012 by hgpu

Matrix Multiplication with CUDA – A basic introduction to the CUDA programming model

Robert Hochberg

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GT 330 M, Tesla C1060

April 27, 2012 by hgpu

High-performance sparse matrix-vector multiplication on GPUs for structured grid computations

Jeswin Godwin, Justin Holewinski, P. Sadayappan

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Partial differential equations, PDEs, Sparse matrix, Tesla C2050

April 25, 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

A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

Dynamic Kernel/Device Mapping Strategies for GPU-assisted HPC Systems

GPU Acceleration for the C++ Standard Template Library

Automatic NUMA Characterization using Cbench

OpenCL and the 13 Dwarfs: A Work in Progress

Solving Stochastic Differential Equations Using General Purpose Graphics Processing Unit

High-Performance Code Generation for Stencil Computations on GPU Architectures

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

Hybrid CPU/GPU KD-Tree Construction for Versatile Ray Tracing

Matrix Multiplication with CUDA – A basic introduction to the CUDA programming model

High-performance sparse matrix-vector multiplication on GPUs for structured grid computations

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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