high performance computing on graphics processing units: hgpu.org

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Performance Analysis of Sobel Edge Filter on Heterogeneous System Using OpenCL

Aruna Dore, Sunitha Lasrado

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Tags: Computer science, Edge detection, Filtering, nVidia, nVidia GeForce GTX 470, OpenCL, Performance

May 13, 2014 by hgpu

Dynamic Orchestration of Massively Data Parallel Execution

Mehrzad Samadi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 560, OpenCL, Performance, Tesla C2050, Thesis

May 10, 2014 by hgpu

Fine-grain Task Aggregation and Coordination on GPUs

Marc S. Orr, Bradford M. Beckmann, Steven K. Reinhardt, David A. Wood

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Tags: Computer science, GPGPU-sim, Hardware Architecture, OpenCL, Performance

May 10, 2014 by hgpu

Improving the Programmability of GPU Architectures

Cedric Nugteren

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Performance, Thesis

May 7, 2014 by hgpu

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Dong Li

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Tags: Computer science, GPGPU-sim, Performance, Thesis

May 7, 2014 by hgpu

Coalition Structure Generation with the Graphics Processing Unit

Krzysztof Pawlowski, Karol Kurach, Kim Svensson, Sarvapali Ramchurn, Tomasz P. Michalak, Talal Rahwan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660, Package, Performance

May 3, 2014 by hgpu

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Yoshihito Sano, Yoshiaki Kadono, Naoki Fukuta

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Tags: Artificial intelligence, Computer science, nVidia, nVidia GeForce GT 320 M, OpenCL, Performance

May 3, 2014 by hgpu

Address Selection for Efficient Barriers on the Intel Xeon Phi

Romain Dolbeau

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Tags: Computer science, Intel Xeon Phi, Performance

May 2, 2014 by hgpu

Sparser, Better, Faster GPU Parsing

David Hall, Taylor Berg-Kirkpatrick, John Canny, Dan Klein

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Tags: Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Performance

April 21, 2014 by hgpu

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

M.Wozniak, K.Kuznik, M. Paszynski, V. M. Calo, D. Pardo

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 780, Performance, Tesla C2070

April 21, 2014 by hgpu

Dynamic Instrumentation and Optimization for GPU Applications

Naila Farooqui, Christopher J. Rossbach, Yuan Yu

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla M2075

April 16, 2014 by hgpu

Test-driving Intel Xeon Phi

Jianbin Fang, Henk Sips, Lilun Zhang, Chuanfu Xu, Yonggang Che, Ana Lucia Varbanescu

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Tags: Computer science, Intel Xeon Phi, Package, Performance

April 13, 2014 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

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

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Performance Analysis of Sobel Edge Filter on Heterogeneous System Using OpenCL

Dynamic Orchestration of Massively Data Parallel Execution

Fine-grain Task Aggregation and Coordination on GPUs

Improving the Programmability of GPU Architectures

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Coalition Structure Generation with the Graphics Processing Unit

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Address Selection for Efficient Barriers on the Intel Xeon Phi

Sparser, Better, Faster GPU Parsing

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

Dynamic Instrumentation and Optimization for GPU Applications

Test-driving Intel Xeon Phi

Recent source codes

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

Data-efficient LLM Fine-tuning for Code Generation

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

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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