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Algorithm 9xx: Sparse QR Factorization on the GPU

Sencer Nuri Yeralan, Timothy A. Davis, Sanjay Ranka

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Package, Sparse matrix, Tesla C2070

April 25, 2015 by hgpu

Direct Communication Methods for Distributed GPUs

Lena Oden

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Tags: Algorithms, Cluster computing, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Thesis

April 25, 2015 by hgpu

Flexible Software Profiling of GPU Architectures

Mark Stephenson, Siva Kumar Sastry Hari, Yunsup Lee, Eiman Ebrahimi, Daniel R. Johnson, David Nellans, Mike O'Connor, Stephen W. Keckler

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Tags: Computer science, CUDA, Design space exploration, nVidia, PTX, Tesla K10, Tesla K20, Tesla K40

April 25, 2015 by hgpu

A Framework for General Sparse Matrix-Matrix Multiplication on GPUs and Heterogeneous Processors

Weifeng Liu, Brian Vinter

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Tags: AMD Radeon R9 290X, ATI, Computer science, CUDA, Mathematical Software, Matrix multiplication, Numerical Analysis, nVidia, nVidia GeForce GTX 980, nVidia GeForce GTX Titan, OpenCL, Package, Path problems, Sparse matrix

April 23, 2015 by hgpu

Multi-swarm PSO algorithm for the Quadratic Assignment Problem: a massive parallel implementation on the OpenCL platform

Piotr Szwed, Wojciech Chmiel

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Tags: Algorithms, AMD Radeon HD 6750 M, ATI, Computer science, Neural and Evolutionary Computing, OpenCL, Particle swarm optimization

April 23, 2015 by hgpu

Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection

Yi Hou, Hong Zhang, Shilin Zhou

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia Quadro K4200, Pattern recognition, Robotics

April 23, 2015 by hgpu

Multi-GPU Graph Analytics

Yuechao Pan, Yangzihao Wang, Yuduo Wu, Carl Yang, John D. Owens

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Tags: Computer science, CUDA, Graph theory, nVidia, Tesla K40, Tesla K80

April 23, 2015 by hgpu

A Survey of Techniques for Modeling and Improving Reliability of Computing Systems

Sparsh Mittal, Jeffrey Vetter

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Tags: cache, cpu, Fault tolerance, GPU, main memory, non-volatile memory, Reliability, resilience, vulnerability

April 21, 2015 by sparsh0mittal

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning

Firas Abuzaid, Stefan Hadjis, Ce Zhang, Christopher Re

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Tags: Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia GRID K520, Tesla K40

April 20, 2015 by hgpu

An efficient midpoint-radius representation format to deal with symmetric fuzzy numbers

Manuel Marin, David Defour, Federico Milano

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Performance

April 20, 2015 by hgpu

A Convolutional Neural Network Cascade for Face Detection

Haoxiang Li, Zhe Lin, Xiaohui Shen, Jonathan Brandt, Gang Hua

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Tags: CNN, Computer science, CUDA, Deep learning, Face detection, Neural networks, nVidia, nVidia GeForce GTX Titan

April 20, 2015 by hgpu

Fluid Simulation and Generating Textures with Reaction-Diffusion Systems on Surfaces in the GPU

Leonardo Carvalho, Maria Andrade, Luiz Velho

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Tags: 3D Graphics and Realism, CUDA, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 470

April 20, 2015 by hgpu

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

KISim: Kubernetes Intelligent Scheduling Simulator

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

No More Shading Languages: Compiling C++ to Vulkan Shaders

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high performance computing on graphics processing units: hgpu.org

Applications

Algorithm 9xx: Sparse QR Factorization on the GPU

Direct Communication Methods for Distributed GPUs

Flexible Software Profiling of GPU Architectures

A Framework for General Sparse Matrix-Matrix Multiplication on GPUs and Heterogeneous Processors

Multi-swarm PSO algorithm for the Quadratic Assignment Problem: a massive parallel implementation on the OpenCL platform

Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection

Multi-GPU Graph Analytics

A Survey of Techniques for Modeling and Improving Reliability of Computing Systems

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning

An efficient midpoint-radius representation format to deal with symmetric fuzzy numbers

A Convolutional Neural Network Cascade for Face Detection

Fluid Simulation and Generating Textures with Reaction-Diffusion Systems on Surfaces in the GPU

Recent source codes

Specx: Speculative task-based runtime system

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

KISim: Kubernetes Intelligent Scheduling Simulator

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

exa-AMD: Exascale Accelerated Materials Discovery

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

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