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CPUless PCs inside networked control systems

Peter Fodrek, Tomas Murgas, Michal Blaho

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Tags: Algorithms, Computer science, nVidia, OpenCL, Operating systems

December 1, 2012 by hgpu

Multidimensional Dataflow Graph Modeling and Mapping for Efficient GPU Implementation

Lai-Huei Wang, Chung-Ching Shen, Gunasekaran Seetharaman, Kannappan Palaniappan, Shuvra S. Bhattacharyya

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Tags: Computer science, CUDA, Design space exploration, DSP, nVidia, nVidia GeForce GTX 260

December 1, 2012 by hgpu

Parallel Nonbinary LDPC Decoding on GPU

Guohui Wang, Hao Shen, Bei Yin, Michael Wu, Yang Sun, Joseph R. Cavallaro

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 470, Parity-check codes

November 29, 2012 by hgpu

clOpenCL – Supporting Distributed Heterogeneous Computing in HPC Clusters

Albano Alves, Jose Rufino, Antonio Pina, Luis Paulo Santos

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Tags: Cluster computing, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, OpenCL

November 29, 2012 by hgpu

GPU Ray Tracing – Comparative Study of Ray-Triangle Intersection Algorithms

Vladimir Shumskiy, Alexandre Parshin

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Tags: ATI, ATI Radeon HD 6870, ATI Radeon HD 7850, Computer science, DirectX, nVidia, nVidia GeForce GT 240 M, nVidia GeForce GTX 560, Raytracing, Rendering

November 29, 2012 by hgpu

Formal Semantics of Heterogeneous CUDA-C: A Modular Approach with Applications

Chris Hathhorn, Michela Becchi, William L. Harrison, Adam Procter

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Package, Programming Languages

November 28, 2012 by hgpu

Softshell: Dynamic Scheduling on GPUs

Markus Steinberger, Bernhard Kainz, Bernhard Kerbl, Stefan Hauswiesner, Michael Kenzel, Dieter Schmalstieg

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Package, Task scheduling

November 27, 2012 by hgpu

From Parallel Programs to Customized Parallel Processors

Pekka Jaaskelainen

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Tags: Algorithms, Compilers, Computer science, FPGA, High-level Languages, nVidia, nVidia GeForce 9400, OpenCL, Thesis

November 27, 2012 by hgpu

Optimizing 3D Convolutions for Wavelet Transforms on CPUs with SSE Units and GPUs

Brice Videau, Vania Marangozova-Martin, Luigi Genovese, Thierry Deutsch

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, nVidia, OpenCL, Optimization, Tesla C2070, Wavelet

November 27, 2012 by hgpu

A Data-Parallel Algorithmic Modelica Extension for Efficient Execution on Multi-Core Platforms

Mahder Gebremedhin, Afshin Hemmati Moghadam, Peter Fritzson, Kristian Stavaker

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Tags: Algorithms, Benchmarking, Compilers, Computer science, Matrix multiplication, nVidia, OpenCL, Tesla M2050

November 27, 2012 by hgpu

Hardware-Accelerated Raycasting: Towards an Effective Brain MRI Visualization

A.M. Adeshina, R. Hashim, N.E.A. Khalid, Siti Z.Z. Abidin

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Tags: Algorithms, Computational Geometry, Computer science, CUDA, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce GT 430, Rendering, Visualization

November 27, 2012 by hgpu

Stochastic Analysis of a Queue Length Model Using a Graphics Processing Unit

J. Prikryl, J. Kocijan

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Tags: Computer science, CUDA, Monte Carlo simulation, Numerical Analysis, nVidia, nVidia GeForce GTX 275, Vehicular traffic

November 26, 2012 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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high performance computing on graphics processing units: hgpu.org

CPUless PCs inside networked control systems

Multidimensional Dataflow Graph Modeling and Mapping for Efficient GPU Implementation

Parallel Nonbinary LDPC Decoding on GPU

clOpenCL – Supporting Distributed Heterogeneous Computing in HPC Clusters

GPU Ray Tracing – Comparative Study of Ray-Triangle Intersection Algorithms

Formal Semantics of Heterogeneous CUDA-C: A Modular Approach with Applications

Softshell: Dynamic Scheduling on GPUs

From Parallel Programs to Customized Parallel Processors

Optimizing 3D Convolutions for Wavelet Transforms on CPUs with SSE Units and GPUs

A Data-Parallel Algorithmic Modelica Extension for Efficient Execution on Multi-Core Platforms

Hardware-Accelerated Raycasting: Towards an Effective Brain MRI Visualization

Stochastic Analysis of a Queue Length Model Using a Graphics Processing Unit

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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