high performance computing on graphics processing units: hgpu.org

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Generation of the Scrambled Halton Sequence Using Accelerators

Emanouil Atanassov, Mariya Durchova

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

September 4, 2013 by hgpu

Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor

Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh

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Tags: Benchmarking, Computer science, Intel Phi, MapReduce

September 4, 2013 by hgpu

Accelerating a Cloud-Based Software GNSS Receiver

Kamran Karimi, Aleks G. Pamir, M. Haris Afzal

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti, Performance

September 4, 2013 by hgpu

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

Jeff Young, Se Hoon Shon, Sudhakar Yalamanchili, Alex Merritt, Karsten Schwan

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Package

September 2, 2013 by hgpu

Towards a functional run-time for dense NLA domain

Mauro Blanco, Pablo Perdomo, Pablo Ezzatti, Alberto Pardo, Marcos Viera

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Tags: Algorithms, BLAS, Computer science, CUDA, Factorization, Haskell, Linear Algebra, nVidia, nVidia GeForce GTX 570

September 2, 2013 by hgpu

Implementation Details of GPU-based Out-of-Core Many-Lights Rendering

Rui Wang, Yuchi Huo, Yazhen Yuan, Kun Zhou, Wei Hua, Hujun Bao

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Rendering

September 2, 2013 by hgpu

A Scalable, Efficient Scheme for Evaluation of Stencil Computations over Unstructured Meshes

James King, Robert M. Kirby

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2090

August 31, 2013 by hgpu

Particle Swarm Optimization of Model Parameters: Simulation of Deep Reactive Ion Etching by the Continuous Cellular Automaton

Y. Li, Y. Xing, M. A. Gosalvez, Prem Pal, Y. Zhou

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 560, Particle swarm optimization

August 31, 2013 by hgpu

Computing High Resolution Explicit Corridor Maps using Parallel Technologies

R. Bonfiglioli

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Path problems, Thesis

August 31, 2013 by hgpu

Accelerating Text Mining Workloads in a MapReduce-based Distributed GPU Environment

Peter Wittek, Sandor Daranyi

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Tags: Algorithms, Computer science, CUDA, MapReduce, nVidia, Package, Self-organizing map, Tesla M2050, Text mining

August 31, 2013 by hgpu

A Feedback Approach to Task Partitioning in Heterogeneous Architectures

Yasir Ali, Zuhair Qadir

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Tags: ATI, ATI Radeon HD 5770, Computer science, Heterogeneous systems, OpenCL, Task scheduling

August 30, 2013 by hgpu

Real-Time GPU Path Tracing

Jacco Bikker, Jeroen van Schijndel

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

August 30, 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

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high performance computing on graphics processing units: hgpu.org

Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor

Oncilla: A GAS Runtime for Efficient Resource Allocation and Data Movement in Accelerated Clusters

Towards a functional run-time for dense NLA domain

Implementation Details of GPU-based Out-of-Core Many-Lights Rendering

A Scalable, Efficient Scheme for Evaluation of Stencil Computations over Unstructured Meshes

Particle Swarm Optimization of Model Parameters: Simulation of Deep Reactive Ion Etching by the Continuous Cellular Automaton

Computing High Resolution Explicit Corridor Maps using Parallel Technologies

Accelerating Text Mining Workloads in a MapReduce-based Distributed GPU Environment

A Feedback Approach to Task Partitioning in Heterogeneous Architectures

Real-Time GPU Path Tracing

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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