Heterogeneous systems | Page 54

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High-Dimensional Adaptive Particle Swarm Optimization on Heterogeneous Systems

M. P. Wachowiak, B. B. Sarlo, A. E. Lambe Foster

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Tags: Computational Physics, CUDA, Heterogeneous systems, nVidia, Particle swarm optimization, Physics, Tesla S1070

October 20, 2014 by hgpu

OpenCL Implementation of Montgomery Multiplication on FPGA

Mehmet Ufuk Buyuksahin

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Tags: Algorithms, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GT 435 M, nVidia GeForce GT 630, nVidia GeForce GTX 780, OpenCL, Security, Thesis

October 16, 2014 by hgpu

FDTD on Distributed Heterogeneous Multi-GPU Systems

Eirik Myklebost

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Tags: Algorithms, Benchmarking, Cluster computing, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 760, Physics, Tesla K20, Thesis, Ultrasound

October 10, 2014 by hgpu

Embedding GPU Computations in Hadoop

Jie Zhu, Hai Jiang, Juanjuan Li, Erikson Hardesty, Kuan-Ching Li, Zhongwen Li

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Tags: Cloud, Computer science, CUDA, Hadoop, Heterogeneous systems, Java, MapReduce, nVidia, nVidia GeForce GTX 480, Task scheduling

October 6, 2014 by hgpu

Fast Automatic Heuristic Construction Using Active Learning

William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather

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Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX Titan

October 3, 2014 by hgpu

Enabling Efficient Use of MPI and PGAS Programming Models on Heterogeneous Clusters with High Performance Interconnects

Sreeram Potluri

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, MPI, nVidia, OpenCL, Tesla, Tesla C2075, Tesla K20, Tesla M2090

September 29, 2014 by hgpu

On the evaluation of matrix polynomials using several GPGPUs

Pedro Alonso, Murilo Boratto, J. Peinado, J. Ibanez, Jorge Sastre

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Heterogeneous systems, nVidia, Tesla K20, Thesis

September 20, 2014 by hgpu

Smart Multi-Task Scheduling for OpenCL Programs on CPU/GPU Heterogeneous Platforms

Yuan Wen, Zheng Wang, Michael F.P. O'Boyle

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 590, OpenCL, Task scheduling

September 17, 2014 by hgpu

Performance and Power Optimization of GPU Architectures for General-purpose Computing

Yue Wang

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Tags: Computer science, CUDA, GPGPU-sim, Heterogeneous systems, nVidia, Thesis

September 13, 2014 by hgpu

HTML5 WebSocket protocol and its application to distributed computing

Gabriel L. Muller

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Tags: Computer science, Distributed computing, Heterogeneous systems, OpenCL, Thesis

September 13, 2014 by hgpu

A CUDA Back-End for the Equelle Compiler

Havard Heitlo Holm

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Source codes

Tags: Compilers, Computer science, CUDA, Differential equations, Finite volume method, Heterogeneous systems, nVidia, nVidia Quadro NVS 5200 M, Package, Partial differential equations, PDEs, Tesla K40, Thesis

September 8, 2014 by hgpu

Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems

Shuai Che, Jiayuan Meng, Kevin Skadron

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Tags: ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL

September 5, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

High-Dimensional Adaptive Particle Swarm Optimization on Heterogeneous Systems

OpenCL Implementation of Montgomery Multiplication on FPGA

FDTD on Distributed Heterogeneous Multi-GPU Systems

Fast Automatic Heuristic Construction Using Active Learning

Enabling Efficient Use of MPI and PGAS Programming Models on Heterogeneous Clusters with High Performance Interconnects

On the evaluation of matrix polynomials using several GPGPUs

Smart Multi-Task Scheduling for OpenCL Programs on CPU/GPU Heterogeneous Platforms

Performance and Power Optimization of GPU Architectures for General-purpose Computing

HTML5 WebSocket protocol and its application to distributed computing

A CUDA Back-End for the Equelle Compiler

Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems

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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