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High-Performance Symmetric Block Ciphers on Multicore CPU and GPUs

Naoki Nishikawa, Keisuke Iwai, Takakazu Kurokawa

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Tags: Algorithms, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security, Tesla C2050

July 12, 2012 by hgpu

A Note on Particle Filters Applied to DSGE Models

Angelo Marsiglia Fasolo

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Tags: Computer science, nVidia, nVidia GeForce GTX 570, OpenCL, Particle filtering, Probability

July 12, 2012 by hgpu

Data Partitioning on Heterogeneous Multicore and Multi-GPU Systems Using Functional Performance Models of Data-Parallel Applications

Ziming Zhong, Vladimir Rychkov, Alexey Lastovetsky

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 680, Tesla C870

July 12, 2012 by hgpu

Fast Algorithms for the Solution of Stochastic Partial Differential Equations

Christopher William Miller

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla C2050

July 11, 2012 by hgpu

Stencil-Aware GPU Optimization of Iterative Solvers

Chekuri Choudary, Jeswin Godwin, Justin Holewinski, Deepan Karthik, Daniel Lowell, Azamat Mametjanov, Boyana Norris, Gerald Sabin, P. Sadayappan

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Tags: Computer science, CUDA, Differential equations, nVidia, Optimization, Partial differential equations, PDEs, Sparse matrix, Tesla C2050, Tesla M2070

July 11, 2012 by hgpu

Invitation to a Standard Programming Interface for Massively Parallel Computing Environment: OpenCL

Shinichi Yamagiwa

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia Quadro NVS 4200 M, OpenCL, Overview, Programming techniques, Tutorial

July 11, 2012 by hgpu

Geometric Algebra enhanced Precompiler for C++ and OpenCL

Patrick Charrier, Dietmar Hildenbrand

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Tags: Code generation, Computer science, CUDA, nVidia, OpenCL, Package, Programming techniques

July 11, 2012 by hgpu

A fully parallel, high precision, N-body code running on hybrid computing platforms

R. Capuzzo-Dolcetta, M. Spera, D. Punzo

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Tags: Astrophysics, ATI, ATI Radeon HD 6970, ATI Radeon HD 7970, Computational Physics, Gravitation, Hybrid computing, Instrumentation and Methods for Astrophysics, MPI, N-body simulation, nVidia, OpenCL, Package, Tesla M2070

July 11, 2012 by hgpu

Hybrid Monte Carlo with Wilson Dirac operator on the Fermi GPU

Abhijit Chakrabarty, Pushan Majumdar

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, Tesla C2050, Tesla X2090

July 11, 2012 by hgpu

Exposure Render: An Interactive Photo-Realistic Volume Rendering Framework

Thomas Kroes, Frits H. Post, Charl P. Botha

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Package, Raytracing, Rendering, Visualization

July 10, 2012 by hgpu

Multi-level Parallelization of Advanced Video Coding on Hybrid CPU/GPU Platform

Svetislav Momcilovic, Nuno Roma, Leonel Sousa

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 580, Task scheduling, Video encoding

July 10, 2012 by hgpu

Runtime Systems and Scheduling Support for High-End CPU-GPU Architectures

Vignesh Trichy Ravi

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Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Thesis

July 10, 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

Applications

High-Performance Symmetric Block Ciphers on Multicore CPU and GPUs

A Note on Particle Filters Applied to DSGE Models

Data Partitioning on Heterogeneous Multicore and Multi-GPU Systems Using Functional Performance Models of Data-Parallel Applications

Fast Algorithms for the Solution of Stochastic Partial Differential Equations

Stencil-Aware GPU Optimization of Iterative Solvers

Invitation to a Standard Programming Interface for Massively Parallel Computing Environment: OpenCL

Geometric Algebra enhanced Precompiler for C++ and OpenCL

A fully parallel, high precision, N-body code running on hybrid computing platforms

Hybrid Monte Carlo with Wilson Dirac operator on the Fermi GPU

Exposure Render: An Interactive Photo-Realistic Volume Rendering Framework

Multi-level Parallelization of Advanced Video Coding on Hybrid CPU/GPU Platform

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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