high performance computing on graphics processing units: hgpu.org

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A Discussion of Selected Vienna-Libraries for Computational Science

Karl Rupp, Florian Rudolf, Josef Weinbub

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 285, OpenCL, Programming techniques, Review

April 1, 2013 by hgpu

Formal Analysis of GPU Programs with Atomics via Conflict-Directed Delay-Bounding

Wei-Fan Chiang, Ganesh Gopalakrishnan, Guodong Li, Zvonimir Rakamaric

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Tags: Computer science, CUDA, nVidia, Programming techniques

March 31, 2013 by hgpu

Specification and Verification of GPGPU Programs using Permission-Based Separation Logic

Marieke Huisman and Matej Mihelcic

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Tags: Computer science, OpenCL, Programming techniques

March 31, 2013 by hgpu

Input-Aware Auto-Tuning for Directive-based GPU Programming

Alberto Magni, Dominik Grewe, Nick Johnson

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Tags: Computer science, nVidia, OpenACC, Performance, Programming techniques, Tesla C2050

March 15, 2013 by hgpu

Morph Algorithms on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Performance, Programming techniques, Tesla C2070

March 12, 2013 by hgpu

Accelerating Kernel Density Estimation on the GPU Using the CUDA Framework

Panagiotis D. Michailidis, Konstantinos G. Margaritis

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Programming techniques

March 2, 2013 by hgpu

On Performance of GPU and DSP Architectures for Computationally Intensive Applications

John Faella

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Tags: Algorithms, Computer science, CUDA, DSP, nVidia, nVidia GeForce GT 540 M, Programming techniques, Thesis

March 2, 2013 by hgpu

Automatic Mapping of Stream Programs on Multicore Architectures

Pablo de Oliveira Castro, Stephane Louise, Denis Barthou

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 580, Programming techniques

February 28, 2013 by hgpu

Accelerating Dynamic Binary Translation with GPUs

Chung Hwan Kim, Srikanth Manikarnike, Vaibhav Sharma, Eric Eide, Robert Ricci

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Tags: Computer science, CUDA, nVidia, nVidia ION, Programming techniques

February 28, 2013 by hgpu

Offload Compiler Runtime for the Intel Xeon Phi Coprocessor

Chris J. Newburn, Rajiv Deodhar, Serguei Dmitriev, Ravi Murty, Ravi Narayanaswamy, John Wiegert, Francisco Chinchilla, Russell McGuire

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Tags: Compilers, Computer science, Heterogeneous systems, Intel, Intel Phi, Programming techniques

February 18, 2013 by hgpu

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Michael Driscoll, Evangelos Georganas, Penporn Koanantakool

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Tags: Computer science, CUDA, MapReduce, nVidia, Programming techniques, Python, Tesla M2050

February 9, 2013 by hgpu

Hybrid CPU-GPU Distributed Framework for Large Scale Mobile Networks Simulation

Ben Romdhanne Bilel, Nikaein Navid, Mohamed Said Mosli Bouksiaa, Christian Bonnet

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Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 460, Programming techniques

February 3, 2013 by hgpu

Code generated HPC Kernels Using Llama-2-70b

Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation

Scope is all you need: Transforming LLMs for HPC Code

pocl - Portable Computing Language

PoCL-R: An Open Standard Based Offloading Layer for Heterogeneous Multi-Access Edge Computing with Server Side Scalability

HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU

openCLDispatcher

Novel insights on atomic synchronization for sort-based group-by on GPUs

CEED Benchmarks

Performant low-order matrix-free finite element kernels on GPU architectures

Sieve: Stratified GPU-Compute Workload Sampling

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high performance computing on graphics processing units: hgpu.org

A Discussion of Selected Vienna-Libraries for Computational Science

Formal Analysis of GPU Programs with Atomics via Conflict-Directed Delay-Bounding

Specification and Verification of GPGPU Programs using Permission-Based Separation Logic

Input-Aware Auto-Tuning for Directive-based GPU Programming

Morph Algorithms on GPUs

Accelerating Kernel Density Estimation on the GPU Using the CUDA Framework

On Performance of GPU and DSP Architectures for Computationally Intensive Applications

Automatic Mapping of Stream Programs on Multicore Architectures

Accelerating Dynamic Binary Translation with GPUs

Offload Compiler Runtime for the Intel Xeon Phi Coprocessor

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Hybrid CPU-GPU Distributed Framework for Large Scale Mobile Networks Simulation

Recent source codes

Code generated HPC Kernels Using Llama-2-70b

Scope is all you need: Transforming LLMs for HPC Code

pocl - Portable Computing Language

HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU

openCLDispatcher

CEED Benchmarks

Sieve: Stratified GPU-Compute Workload Sampling

EngineCL: Usability and Performance in Heterogeneous Computing

Ginkgo: high-performance linear algebra library for manycore systems

AlphaFold2

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