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GPU Computing in Economics

Eric M. Aldrich

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Tags: CUDA, Finance, nVidia, Package, Review, Tesla C2075

July 20, 2013 by hgpu

Real Time Pixel Art Remasterization on GPUs

Marco A. G. Silva, Anselmo Montenegro, Esteban Clua, Cristina Vasconcelos, Marcos Lage

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Visualization

July 20, 2013 by hgpu

An Efficient Deterministic Parallel Algorithm for Adaptive Multidimensional Numerical Integration on GPUs

Kamesh Arumugam, Alexander Godunov, Desh Ranjan, Balsa Terzic, Mohammad Zubair

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2090

July 20, 2013 by hgpu

HAccRG: Hardware-Accelerated Data Race Detection in GPUs

Anup Holey, Vineeth Mekkat, Antonia Zhai

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia Quadro FX 5800, Performance

July 19, 2013 by hgpu

Parallel Image Segmentation Using Reduction-Sweeps On Multicore Processors and GPUs

Renato Farias, Ricardo Farias, Ricardo Marroquim, Esteban Clua

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Tags: Algorithms, Clustering, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 470

July 19, 2013 by hgpu

On Benchmarking the Matrix Multiplication Algorithm using OpenMP, MPI and CUDA Programming Languages

Muhammed Al-Mulhem, Abdulah AlDhamin, Raed Al-Shaikh

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Tags: Algorithms, Benchmarking, Bioinformatics, Computer science, CUDA, Linear Algebra, Matrix multiplication, MPI, nVidia, nVidia GeForce GTX 460

July 19, 2013 by hgpu

A Software-Based Self Test of CUDA Fermi GPUs

Stefano Di Carlo, Giulio Gambardella, Marco Indaco, Ippazio Martella, Paolo Prinetto, Daniele Rolfo, Pascal Trotta

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Tags: Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 580

July 17, 2013 by hgpu

Parallelization the Job-shop Problem on Distributed and Shared Memory Architectures

Vu Dinh Trung, Tran Van Lang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 250, Task scheduling

July 17, 2013 by hgpu

Early Experiences With The OpenMP Accelerator Model

Chunhua Liao, Yonghong Yan, Bronis R. de Supinski, Daniel J. Quinlan, Barbara Chapman

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Package, Tesla K20

July 17, 2013 by hgpu

Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-GPU environments

Imen Chakroun

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Tags: Algorithms, Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, Tesla C2050, Thesis

July 17, 2013 by hgpu

Data Structures and Algorithms for Counting Problems on Graphs using GPU

Amlan Chatterjee, Sridhar Radhakrishnan, John K. Antonio

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, Tesla C1060, Tesla C2050, Tesla C2070

July 16, 2013 by hgpu

A New GPU-based Approach to the Shortest Path Problem

Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Path problems

July 16, 2013 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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

GPU Computing in Economics

Real Time Pixel Art Remasterization on GPUs

An Efficient Deterministic Parallel Algorithm for Adaptive Multidimensional Numerical Integration on GPUs

HAccRG: Hardware-Accelerated Data Race Detection in GPUs

Parallel Image Segmentation Using Reduction-Sweeps On Multicore Processors and GPUs

On Benchmarking the Matrix Multiplication Algorithm using OpenMP, MPI and CUDA Programming Languages

A Software-Based Self Test of CUDA Fermi GPUs

Parallelization the Job-shop Problem on Distributed and Shared Memory Architectures

Early Experiences With The OpenMP Accelerator Model

Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-GPU environments

Data Structures and Algorithms for Counting Problems on Graphs using GPU

A New GPU-based Approach to the Shortest Path Problem

Recent source codes

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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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