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Lost in Translation: Challenges in Automating CUDA-to-OpenCL Translation

Paul Sathre, Mark Gardner, Wu-chun Feng

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Tags: Code generation, Computer science, CUDA, nVidia, OpenCL

September 8, 2012 by hgpu

Mastering Software Variant Explosion for GPU Accelerators

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Computer science, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

September 8, 2012 by hgpu

Supporting Heterogenous Computing Environments in SaC

Miguel Diogo, Clemens Grelck

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia

September 8, 2012 by hgpu

OpenACC Implementations Comparison

Ivan Lopez-Rodriguez

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Tesla C2050

September 8, 2012 by hgpu

Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

Benedict R. Gaster, Lee Howes

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, OpenCL, Performance

September 7, 2012 by hgpu

An Efficient Acceleration of Digital Fonensics Search Using GPGPU

Chung-han Chen, Fan Wu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Search

September 7, 2012 by hgpu

GPU Computing and CUDA technology used to accelerate a mesh generator application

Adriana Gaudiani, Santiago Montiel, Javier Pimas

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Tags: Computer science, CUDA, nVidia, Tesla C2070

September 7, 2012 by hgpu

Power and Performance Analysis of GPU-Accelerated Systems

Yuki Abe, Hiroshi Sasaki, Martin Peres, Koji Inoue, Kazuaki Murakami, Shinpei Kato

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 480, Package

September 6, 2012 by hgpu

GPU Acceleration of BCP Procedure for SAT Algorithms

Hironori Fujii, Noriyuki Fujimoto

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

September 6, 2012 by hgpu

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

Saktheesh Subramoniapillai Ajeetha

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Performance, Tesla C2050, Thesis

September 6, 2012 by hgpu

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs

Ahmed Shamsul Arefin, Carlos Riveros, Regina Berretta, Pablo Moscato

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Tags: Bioinformatics, Computer science, CUDA, Machine learning, Nearest neighbour, nVidia, Package, Pattern recognition, Tesla C2050

September 5, 2012 by hgpu

Multi-user real-time speech recognition with a GPU

Jungsuk Kim

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Speech recognition

September 5, 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

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high performance computing on graphics processing units: hgpu.org

Lost in Translation: Challenges in Automating CUDA-to-OpenCL Translation

Mastering Software Variant Explosion for GPU Accelerators

Supporting Heterogenous Computing Environments in SaC

OpenACC Implementations Comparison

Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

An Efficient Acceleration of Digital Fonensics Search Using GPGPU

GPU Computing and CUDA technology used to accelerate a mesh generator application

Power and Performance Analysis of GPU-Accelerated Systems

GPU Acceleration of BCP Procedure for SAT Algorithms

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs

Multi-user real-time speech recognition with a GPU

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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