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SPOC: GPGPU Programming Through Stream Processing With OCaml

Mathias Bourgoin, Emmanuel Chailloux, Jean-Luc Lamotte

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Tags: ATI, ATI Radeon HD 6950, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C2070

May 19, 2012 by hgpu

C-DAC’s Efforts – Application Kernels on HPC Cluster with GPU Accelerators

VCV.Rao, Nisha Agrawa, Samrit Maity

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Tags: AMD FirePro V5900, AMD FirePro V7900, AMD FireStream 9350, ATI, Computer science, CUDA, Differential equations, FEM, Finite difference, Finite element method, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, nVidia, OpenCL, Partial differential equations, PDEs, Tesla C2060

May 19, 2012 by hgpu

An Introduction to the OpenCL Programming Model

Jonathan Thompson, Kristofer Schlachter

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 6750 M, Computer science, Matrix multiplication, nVidia, nVidia Quadro FX 2000, OpenCL, Overview, Tutorial

May 16, 2012 by hgpu

A Heterogeneous Accelerated Matrix Multiplication: OpenCL + APU + GPU+ Fast Matrix Multiply

Paolo D'Alberto

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Tags: ATI, ATI Radeon HD 6550, ATI Radeon HD 6750, Computer science, Heterogeneous systems, Mathematical Software, Matrix multiplication, OpenCL

May 16, 2012 by hgpu

An Overview of Selected Hybrid and Reconfigurable Architectures

Sasa Stojanovic, Dragan Bojic, Miroslav Bojovic, Mateo Valero, Veljko Milutinovic

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Tags: ATI, ATI Radeon HD 5870, Cell processor, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenCL, Review

May 9, 2012 by hgpu

Enabling task-level scheduling on heterogeneous platforms

Enqiang Sun, Dana Schaa, Richard Bagley, Norman Rubin, David Kaeli

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Tags: ATI, ATI FirePro V9800, ATI Radeon HD 6970, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL, Task scheduling

May 9, 2012 by hgpu

Divide-and-Conquer 3D Convex Hulls on the GPU

Jeffrey M. White, Kevin A. Wortman

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Tags: ATI, ATI Radeon HD 6470 M, Computer science, OpenCL

May 9, 2012 by hgpu

iGPU: Exception Support and Speculative Execution on GPUs

Jaikrishnan Menon, Marc de Kruijf, Karthikeyan Sankaralingam

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Tags: ATI, ATI Radeon HD 6550, Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Performance, Programming techniques

May 7, 2012 by hgpu

High Performance Error Correction for Quantum Key Distribution using Polar Codes

Paul Jouguet, Sebastien Kunz-Jacques

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Tags: ATI, Parity-check codes, Physics, Quantum Physics

May 3, 2012 by hgpu

OpenCL and the 13 Dwarfs: A Work in Progress

W. Feng, H. Lin, T. Scogland, J. Zhang

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Tags: ATI, ATI Radeon HD 5450, Benchmarking, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 520, OpenCL, Tesla C2050

May 1, 2012 by hgpu

High-Performance Code Generation for Stencil Computations on GPU Architectures

Justin Holewinski, Louis-Noel Pouchet, P. Sadayappan

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Tags: Algorithms, ATI, ATI Radeon HD 6550, Code generation, Compilers, Computer science, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, OpenCL, Programming Languages, Programming techniques, Tesla C2050

April 28, 2012 by hgpu

Radio Astronomy Beam Forming on Many-Core Architectures

Alessio Sclocco, Ana Lucia Varbanescu, Jan David Mol, Rob V. van Nieuwpoort

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Tags: Astrophysics, ATI, ATI Radeon HD 6970, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Signal processing

April 25, 2012 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

SPOC: GPGPU Programming Through Stream Processing With OCaml

C-DAC’s Efforts – Application Kernels on HPC Cluster with GPU Accelerators

An Introduction to the OpenCL Programming Model

A Heterogeneous Accelerated Matrix Multiplication: OpenCL + APU + GPU+ Fast Matrix Multiply

An Overview of Selected Hybrid and Reconfigurable Architectures

Enabling task-level scheduling on heterogeneous platforms

Divide-and-Conquer 3D Convex Hulls on the GPU

iGPU: Exception Support and Speculative Execution on GPUs

High Performance Error Correction for Quantum Key Distribution using Polar Codes

OpenCL and the 13 Dwarfs: A Work in Progress

High-Performance Code Generation for Stencil Computations on GPU Architectures

Radio Astronomy Beam Forming on Many-Core Architectures

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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