high performance computing on graphics processing units: hgpu.org

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hgpu.org » Programming » Algorithms

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

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

Evolutionary Algorithm for Optimizing Parameters of GPGPU-based Image Segmentation

Sandor Szenasi, Zoltan Vamossy

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Tags: Algorithms, CUDA, Genetic programming, Image processing, Microscopy, nVidia

August 30, 2013 by hgpu

Swendsen-Wang Multi-Cluster Algorithm for the 2D/3D Ising Model on Xeon Phi and GPU

Florian Wende, Thomas Steinke

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Tags: Algorithms, CUDA, Intel Phi, Ising model, Monte Carlo simulation, MPI, nVidia, Physics, Tesla M2090

August 30, 2013 by hgpu

High Performance Algorithms to Improve the Runtime Computation of Spacecraft Trajectories

Nitin Arora

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Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, Tesla C1060, Tesla M2090, Thesis

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

Towards High-Performance and Cost-Effective Distributed Storage Systems with Information Dispersal Algorithms

Dongfang Zhao, Kent Burlingame, Corentin Debains, Pedro Alvarez-Tabio, Ioan Raicu

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, nVidia GeForce GT 640, Storage system

August 29, 2013 by hgpu

Aquila 2.0: Software Architecture for Cognitive Robotics

Martin Peniak, Anthony Morse, Angelo Cangelosi

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Package

August 26, 2013 by hgpu

Fast Object Re-Detection and Localization in Video for Spatio-Temporal Fragment Creation

Evlampios Apostolidis, Vasileios Mezaris, Ioannis Kompatsiaris

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 560, OpenCV

August 26, 2013 by hgpu

Lattice Boltzmann Simulations of Multiphase Flows

Jeremy Aaron Kolker Horwitz

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Physics, Poisson equation, Tesla C1060, Thesis

August 26, 2013 by hgpu

Optimisation and Parallelism in Synchronous Digital Circuit Simulators

John T. O'Donnell, Cordelia V. Hall

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Optimization

August 26, 2013 by hgpu

Optimal Control Problem and Power-Efficient Medical Image Processing Using Puma

Himadri Nath Moulick, Moumita Ghosh

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Tags: Algorithms, CUDA, Image processing, Medicine, MRI, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs

August 26, 2013 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

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

Real-Time GPU Path Tracing

Evolutionary Algorithm for Optimizing Parameters of GPGPU-based Image Segmentation

Swendsen-Wang Multi-Cluster Algorithm for the 2D/3D Ising Model on Xeon Phi and GPU

High Performance Algorithms to Improve the Runtime Computation of Spacecraft Trajectories

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

Aquila 2.0: Software Architecture for Cognitive Robotics

Fast Object Re-Detection and Localization in Video for Spatio-Temporal Fragment Creation

Lattice Boltzmann Simulations of Multiphase Flows

Optimisation and Parallelism in Synchronous Digital Circuit Simulators

Optimal Control Problem and Power-Efficient Medical Image Processing Using Puma

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)