high performance computing on graphics processing units: hgpu.org

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Behavioral Non-portability in Scientific Numeric Computing

Yijia Gu, Thomas Wahl, Mahsa Bayati, Miriam Leeser

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Tags: Algorithms, ATI, ATI Radeon HD 6550, Computer science, Heterogeneous systems, nVidia, nVidia Quadro 600, OpenCL, Tesla C2075, Tesla K20

December 12, 2015 by hgpu

Accelerating Exact Similarity Search on CPU-GPU Systems

Takazumi Matsumoto, Man Lung Yiu

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Tags: Algorithms, ATI, Computer science, Data mining, Heterogeneous systems, Nearest neighbour, nVidia, nVidia GeForce GTX 780 Ti, OpenCL

December 12, 2015 by hgpu

GRATER: An Approximation Workflow for Exploiting Data-Level Parallelism in FPGA Acceleration

Atieh Lotfi, Abbas Rahimi, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Rajesh K. Gupta

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Code generation, Computer science, FPGA, OpenCL

December 12, 2015 by hgpu

Scaling Deep Learning on Multiple In-Memory Processors

Lifan Xu, Dong Ping Zhang, Nuwan Jayasena

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Tags: ATI, ATI Radeon HD 7970, Computer science, Deep learning, Machine learning, OpenCL

December 8, 2015 by hgpu

Bridging OpenCL and CUDA: A Comparative Analysis and Translation

Junghyun Kim, Thanh Tuan Dao, Jaehoon Jung, Jinyoung Joo, Jaejin Lee

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Tags: ATI, ATI Radeon HD 7970, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, OpenCL

December 1, 2015 by hgpu

Optimization of a Machine Learning Algorithm on the Heterogeneous system using OpenCL

Min Gyung Song, Dongweon Yoon

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Tags: Algorithms, AMD Radeon R9 290, ATI, Clustering, Computer science, Heterogeneous systems, Machine learning, OpenCL

November 25, 2015 by hgpu

Autotuning OpenCL Workgroup Size for Stencil Patterns

Chris Cummins, Pavlos Petoumenos, Michel Steuwer, Hugh Leather

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Tags: ATI, ATI Radeon HD 7970, Computer science, Machine learning, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 690, nVidia GeForce GTX Titan, OpenCL, Performance

November 11, 2015 by hgpu

Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Storage Format

Joseph L. Greathouse, Mayank Daga

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Tags: Algorithms, AMD FirePro W9100, ATI, Computer science, Linear Algebra, OpenCL, Sparse matrix

November 4, 2015 by hgpu

Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices

Mayank Daga, Joseph L. Greathouse

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Tags: Algorithms, AMD FirePro W9100, APU, ATI, Computer science, Linear Algebra, OpenCL, Package, Sparse matrix

November 3, 2015 by hgpu

Estimation of numerical reproducibility on CPU and GPU

Fabienne Jezequel, Jean-Luc Lamotte, Issam Said

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Tags: APU, ATI, ATI Radeon HD 7970, Computer science, CUDA, nVidia, OpenCL, Tesla C2050, Tesla K20

October 31, 2015 by hgpu

GPU Ray-Traced Collision Detection for Cloth Simulation

Francois Lehericey, Valerie Gouranton, Bruno Arnaldi

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Tags: 3D Graphics and Realism, Algorithms, AMD FirePro W9100, ATI, Collision detection, Computer science, OpenCL, Raytracing

October 29, 2015 by hgpu

Execution of Compound Multi-Kernel OpenCL Computations in Multi-CPU/Multi-GPU Environments

Fabio Soldado, Fernando Alexandre, Herve Paulino

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Tags: ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, OpenCL, Performance

October 25, 2015 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

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

Can Large Language Models Predict Parallel Code Performance?

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

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high performance computing on graphics processing units: hgpu.org

Behavioral Non-portability in Scientific Numeric Computing

Accelerating Exact Similarity Search on CPU-GPU Systems

GRATER: An Approximation Workflow for Exploiting Data-Level Parallelism in FPGA Acceleration

Scaling Deep Learning on Multiple In-Memory Processors

Bridging OpenCL and CUDA: A Comparative Analysis and Translation

Optimization of a Machine Learning Algorithm on the Heterogeneous system using OpenCL

Autotuning OpenCL Workgroup Size for Stencil Patterns

Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Storage Format

Structural Agnostic SpMV: Adapting CSR-Adaptive for Irregular Matrices

Estimation of numerical reproducibility on CPU and GPU

GPU Ray-Traced Collision Detection for Cloth Simulation

Execution of Compound Multi-Kernel OpenCL Computations in Multi-CPU/Multi-GPU Environments

Recent source codes

CFAL-bench

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

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

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