high performance computing on graphics processing units: hgpu.org

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Parallel Algorithm for BSDEs Based High Dimensional American Option Pricing on the GPU

Ying Peng, Hui Liu, Shuzhen Yang, Bin Gong

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Tags: Algorithms, CUDA, Differential equations, Finance, nVidia, Tesla C2050

January 10, 2014 by hgpu

Conditional component composition for GPU-based systems

Usman Dastgeer, Christoph W. Kessler

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2050

January 6, 2014 by hgpu

A Push-Relabel-Based Maximum Cardinality Bipartite Matching Algorithm on GPUs

Mehmet Deveci, Kamer Kaya, Bora Ucar, Umit V. Catalyurek

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, Graph theory, nVidia, Search, Tesla C2050

January 5, 2014 by hgpu

Large-Scale Paralleled Sparse Principal Component Analysis

W. Liu, H. Zhang, D. Tao, Y. Wang, K. Lu

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Tags: Computer science, CUBLAS, CUDA, Machine learning, Numerical Analysis, nVidia, Tesla C2050

December 24, 2013 by hgpu

Hardware Acceleration Technologies in Computer Algebra: Challenges and Impact

Sardar Anisul Haque

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Sorting, Sparse matrix, Tesla C2050, Tesla M2050, Thesis

December 23, 2013 by hgpu

Design and Optimization of OpenFOAM-based CFD Applications for Modern Hybrid and Heterogeneous HPC Platforms

Amani AlOnazi

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Tags: Algorithms, Conjugate gradient solver, CUDA, Fluid dynamics, Heterogeneous systems, Laplace and Poisson equation, Linear Algebra, MPI, Numerical simulation, nVidia, Tesla C2050, Thesis

December 21, 2013 by hgpu

Towards global composition of performance-aware components for GPU-based systems

Usman Dastgeer, Christoph Kessler

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Tags: Computer science, CUDA, Flow analysis, Heterogeneous systems, nVidia, Task scheduling, Tesla C2050

December 20, 2013 by hgpu

Heterogeneous Programming with Single Operation Multiple Data

Herve Paulino, Eduardo Marques

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Tags: Computer science, CUDA, Data parallelism, Heterogeneous systems, Java, nVidia, nVidia GeForce GT 320 M, Tesla C2050

December 19, 2013 by hgpu

High Performance Computing Image Analysis for Radiotherapy Planning

Zilong Pan

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Tags: Computed tomography, CT, CUDA, Filtering, Medicine, nVidia, Radiotherapy, Tesla C2050, Thesis, Tomography

December 17, 2013 by hgpu

Exploiting parallel features of modern computer architectures in bioinformatics

Guillaume Chapuis

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Genetics, nVidia, Path problems, Tesla C2050, Tesla C2090, Thesis

December 16, 2013 by hgpu

GPU Based Dose Calculation

Dmitry Tsigelnitskiy

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Tags: CUDA, Intel Xeon Phi, Medicine, nVidia, Radiotherapy, Tesla C2050, Tesla K20, Thesis

December 12, 2013 by hgpu

Up to 700k GPU cores, Kepler, and the Exascale future for simulations of star clusters around black holes

P. Berczik, R. Spurzem, L. Wang, S. Zhong, O. Veles, I. Zinchenko, S. Huang, M. Tsai, G. Kennedy, S. Li, L. Naso, C. Li

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Source codes

Tags: Astrophysics, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Package, Tesla C2050, Tesla K20

December 9, 2013 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallel Algorithm for BSDEs Based High Dimensional American Option Pricing on the GPU

Conditional component composition for GPU-based systems

A Push-Relabel-Based Maximum Cardinality Bipartite Matching Algorithm on GPUs

Large-Scale Paralleled Sparse Principal Component Analysis

Hardware Acceleration Technologies in Computer Algebra: Challenges and Impact

Design and Optimization of OpenFOAM-based CFD Applications for Modern Hybrid and Heterogeneous HPC Platforms

Towards global composition of performance-aware components for GPU-based systems

Heterogeneous Programming with Single Operation Multiple Data

High Performance Computing Image Analysis for Radiotherapy Planning

Exploiting parallel features of modern computer architectures in bioinformatics

GPU Based Dose Calculation

Up to 700k GPU cores, Kepler, and the Exascale future for simulations of star clusters around black holes

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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