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IPMACC: Open Source OpenACC to CUDA/OpenCL Translator

Ahmad Lashgar, Alireza Majidi, Amirali Baniasadi

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Tags: Computer science, CUDA, nVidia, OpenACC, OpenCL, Programming Languages, Tesla K20

December 5, 2014 by hgpu

OpenCL Based High-Quality HEVC Motion Estimation on GPU

Fan Wang, Dajiang Zhou, Satoshi Goto

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Tags: AMD Radeon R9 290, ATI, Compression, H.265, Image processing, OpenCL

December 3, 2014 by hgpu

Parallelization of a novel frequent itemset hiding algorithm on a CPU-GPU platform

Samuel Bacha Heye

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Tags: Algorithms, Computer science, Data mining, nVidia, nVidia GeForce GT 635 M, OpenCL, Thesis

December 3, 2014 by hgpu

An Open-Source GPU-Accelerated Feature Extraction Tool

Josef Michalek, Jan Vanek

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 660, OpenCL, Speech recognition

December 1, 2014 by hgpu

GPU Declarative Framework

Robert W. Senser, Jr.

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Tags: AMD Radeon R9 270, ATI, Code generation, Computer science, Filtering, Image processing, Matrix inversion, nVidia, OpenCL, Sorting, Tesla S2050, Tesla T20, Thesis

December 1, 2014 by hgpu

Application Synthesis and Optimization on Heterogeneous Parallel Processing Systems

Chih-Sheng Lin

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTS 250, nVidia GeForce GTX 690, OpenCL, Task scheduling, Tesla C2050, Thesis

December 1, 2014 by hgpu

Performance Analysis of a High-level Abstractions-based Hydrocode on Future Computing Systems

G.R. Mudalige, I.Z. Reguly, M.B. Giles, A.C. Mallinson, W.P. Gaudin, J.A. Herdman

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Tags: Code generation, Computer science, CUDA, GPU cluster, MPI, nVidia, OpenACC, OpenCL, Tesla K20

December 1, 2014 by hgpu

A Framework for Composing High-Performance OpenCL from Python Descriptions

Michael Anderson

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 480, OpenCL, Optical flow, Python, Thesis

November 29, 2014 by hgpu

Code Generation Compiler for the OpenMP 4.0 Accelerator Model onto OMPSS

Guray Ozen

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Tags: Code generation, Computer science, CUDA, nVidia, OpenCL, Tesla M2090, Thesis

November 29, 2014 by hgpu

Runtime Comparison of CPU and GPU Using Portable Programming Models

Franz Wiesinger, Florian Nairz, Michael Bogner

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 680, OpenCL, Sorting

November 29, 2014 by hgpu

Parallel kNN on GPU Architecture Using OpenCL

V.B.Nikam, B.B.Meshram

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Tags: Algorithms, Computer science, Data mining, OpenCL

November 29, 2014 by hgpu

A Self-Optimizing Framework for Developing Metrology Software on Massive Parallel Processor Architectures

T. Beier

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Tags: Algorithms, ATI, ATI Radeon HD 7750, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Performance

November 25, 2014 by hgpu

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

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high performance computing on graphics processing units: hgpu.org

IPMACC: Open Source OpenACC to CUDA/OpenCL Translator

OpenCL Based High-Quality HEVC Motion Estimation on GPU

Parallelization of a novel frequent itemset hiding algorithm on a CPU-GPU platform

An Open-Source GPU-Accelerated Feature Extraction Tool

GPU Declarative Framework

Application Synthesis and Optimization on Heterogeneous Parallel Processing Systems

Performance Analysis of a High-level Abstractions-based Hydrocode on Future Computing Systems

A Framework for Composing High-Performance OpenCL from Python Descriptions

Code Generation Compiler for the OpenMP 4.0 Accelerator Model onto OMPSS

Runtime Comparison of CPU and GPU Using Portable Programming Models

Parallel kNN on GPU Architecture Using OpenCL

A Self-Optimizing Framework for Developing Metrology Software on Massive Parallel Processor Architectures

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Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

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