high performance computing on graphics processing units: hgpu.org

hgpu.org » Thesis

Accelerating ternary quantized convolutional neural networks using OpenCL for FPGA

Victor Joos de ter Beerst, Antoine Vanderschueren

View

Download (PDF)

Source codes

Tags: Computer science, DSP, FPGA, Neural networks, OpenCL, Package, Thesis

March 24, 2019 by hgpu

Novel Data-Partitioning Algorithms for Performance and Energy Optimization of Data-Parallel Applications on Modern Heterogeneous HPC Platforms

Hamidreza Khaleghzadeh

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Matrix multiplication, nVidia, OpenCL, Package, Thesis

March 17, 2019 by hgpu

Performance Optimization of Memory Intensive Applications on FPGA Accelerator

Arslan Arif

View

Download (PDF)

Tags: Artificial intelligence, Computer science, Electronic design automation, FPGA, nVidia, nVidia GeForce GTX 960, OpenCL, Thesis

March 17, 2019 by hgpu

Improving GPU Performance through Instruction Redistribution and Diversification

Xiang Gong

View

Download (PDF)

Tags: AMD Radeon HD 7970, ATI, Compilers, Computer science, OpenCL, Optimization, Thesis

March 10, 2019 by hgpu

Application level energy measurements and models for hybrid platform with accelerators

Kenneth O'Brien

View

Download (PDF)

Tags: Computer science, Energy-efficient computing, Intel Xeon Phi, OpenCL, Tesla K40, Thesis

March 3, 2019 by hgpu

Worst-Case Execution Time Guarantees for Runtime-Reconfigurable Architectures

Marvin Damschen

View

Download (PDF)

Tags: Computer science, OpenCL, Performance, Thesis, Timing analysis

February 24, 2019 by hgpu

Efficient Implementation and Optimization of Geometric Multigrid Operations in the LIFT Framework

Martin Lucke

View

Download (PDF)

Tags: Computer science, Differential equations, nVidia, nVidia GeForce GTX 1080, OpenCL, Partial differential equations, PDEs, performance portability, Thesis

January 27, 2019 by hgpu

Automatic Performance Optimization on Heterogeneous Computer Systems using Manycore Coprocessors

Chenggang Lai

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, Intel Xeon Phi, MPI, OpenMP, Thesis

December 30, 2018 by hgpu

A Study on the Acceleration of Arrival Curve Construction and Regular Specification Mining using GPUs

Nirmal Joshi Benann Rajendra

View

Download (PDF)

Tags: AMD Radeon R9 390X, ATI, Computer science, CUDA, nVidia, nVidia GeForce GTX 1080 Ti, nVidia GeForce RTX 2080 Ti, OpenCL, Thesis

December 30, 2018 by hgpu

On Runtime Systems for Task-based Programming on Heterogeneous Platforms

Samuel Thibault

View

Download (PDF)

Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Operating systems, StarPU, Task scheduling, Tesla C2050, Tesla K20, Tesla M2075, Thesis

December 23, 2018 by hgpu

Software Platform for Hybrid Resource Management of Many-core Accelerators

Taeyoung Kim

View

Download (PDF)

Tags: Computer science, Design space exploration, Intel Xeon Phi, OpenCL, Thesis

December 16, 2018 by hgpu

Developing acquisition systems based on FPGA with OpenCL

Víctor Calvo Pampliega

View

Download (PDF)

Tags: Computer science, Data acquisition, FPGA, OpenCL, Thesis

December 16, 2018 by hgpu

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

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

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

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Accelerating ternary quantized convolutional neural networks using OpenCL for FPGA

Novel Data-Partitioning Algorithms for Performance and Energy Optimization of Data-Parallel Applications on Modern Heterogeneous HPC Platforms

Performance Optimization of Memory Intensive Applications on FPGA Accelerator

Improving GPU Performance through Instruction Redistribution and Diversification

Application level energy measurements and models for hybrid platform with accelerators

Worst-Case Execution Time Guarantees for Runtime-Reconfigurable Architectures

Efficient Implementation and Optimization of Geometric Multigrid Operations in the LIFT Framework

Automatic Performance Optimization on Heterogeneous Computer Systems using Manycore Coprocessors

A Study on the Acceleration of Arrival Curve Construction and Regular Specification Mining using GPUs

On Runtime Systems for Task-based Programming on Heterogeneous Platforms

Software Platform for Hybrid Resource Management of Many-core Accelerators

Developing acquisition systems based on FPGA with OpenCL

Recent source codes

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

ROCm's implementation of Gromacs

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

Most viewed papers (last 30 days)