high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

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

Fast network communities visualization on massively parallel GPU architecture

M. Mrzek, B. Jerman Blazic

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Tags: Computer science, CUDA, nVidia, Python, Tesla M2090, Visualization

August 29, 2013 by hgpu

Efficient Sparse Matrix-Vector Multiplication on x86-Based Many-Core Processors

Xing Liu, Mikhail Smelyanskiy, Edmond Chow, Pradeep Dubey

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Tags: Algorithms, Computer science, CUDA, Intel Phi, nVidia, Performance, Sparse matrix, Tesla K20

August 29, 2013 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

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high performance computing on graphics processing units: hgpu.org

Applications

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

Fast network communities visualization on massively parallel GPU architecture

Efficient Sparse Matrix-Vector Multiplication on x86-Based Many-Core Processors

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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