high performance computing on graphics processing units: hgpu.org

hgpu.org » HLS

Exploring the acceleration of Nekbone on reconfigurable architectures

Nick Brown

View

Download (PDF)

Tags: Computer science, FPGA, HLS, nVidia, OpenCL, Tesla V100

November 15, 2020 by hgpu

Design and Performance Evaluation of Optimizations for OpenCL FPGA Kernels

Anthony M. Cabrera, Roger D. Chamberlain

View

Download (PDF)

Tags: Computer science, FPGA, HLS, OpenCL, Optimization, Performance

November 8, 2020 by hgpu

Transparent Compiler and Runtime Specializations for Accelerating Managed Languages on FPGAs

Michail Papadimitriou, Juan Fumero, Athanasios Stratikopoulos, Foivos S. Zakkak, Christos Kotselidis

View

Download (PDF)

Source codes

Tags: Computer science, FPGA, HLS, Java, OpenCL, Optimization, Package, Programming Languages

November 8, 2020 by hgpu

When HLS Meets FPGA HBM: Benchmarking and Bandwidth Optimization

Young-kyu Choi, Yuze Chi, Jie Wang, Licheng Guo, Jason Cong

View

Download (PDF)

Tags: Benchmarking, Computer science, FPGA, HLS, OpenCL, Optimization

October 18, 2020 by hgpu

It’s all about data movement: Optimising FPGA data access to boost performance

Nick Brown, David Dolman

View

Download (PDF)

Tags: Computer science, FPGA, HLS, Performance

October 11, 2020 by hgpu

Extending High-Level Synthesis for Task-Parallel Programs

Yuze Chi, Licheng Guo, Young-kyu Choi, Jie Wang, Jason Cong

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, FPGA, HLS, OpenCL, Package

September 27, 2020 by hgpu

Compiler-Based Tools to Aid in Data Transfer Optimization and On-Chip Debug of Heterogeneous Compute Systems

Matthew B. Ashcraft

View

Download (PDF)

Tags: Compilers, Computer science, FPGA, Heterogeneous systems, HLS, nVidia, nVidia GeForce GTX Titan X, OpenCL, Thesis

August 23, 2020 by hgpu

AnyHLS: High-Level Synthesis with Partial Evaluation

M. Akif Özkan, Arsène Pérard-Gayot, Richard Membarth, Philipp Slusallek, Roland Leissa, Sebastian Hack, Jürgen Teich, Frank Hannig

View

Download (PDF)

Source codes

Tags: Computer science, FPGA, HLS, Image processing, OpenCL, Package, Programming Languages

August 9, 2020 by hgpu

Synergistic CPU-FPGA Acceleration of Sparse Linear Algebra

Mohammadreza Soltaniyeh, Richard P. Martin, Santosh Nagarakatte

View

Download (PDF)

Tags: Computer science, Factorization, FPGA, HLS, Linear Algebra, Matrix multiplication, OpenCL, Sparse

May 10, 2020 by hgpu

Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of the HPCChallenge Benchmark Suite

Marius Meyer, Tobias Kenter, Christian Plessl

View

Download (PDF)

Source codes

Tags: Benchmarking, Computer science, FPGA, HLS, OpenCL, Package

April 26, 2020 by hgpu

Fast Turnaround HLS Debugging using Dependency Analysis and Debug Overlays

Al-Shahna Jamal, Eli Cahill, Jeffrey Goeders,Steven J.E. Wilton

View

Download (PDF)

Tags: Computer science, FPGA, HLS

January 12, 2020 by hgpu

A Highly Parameterizable Framework for Conditional Restricted Boltzmann Machine Based Workloads Accelerated With FPGAs and OpenCL

Zoran Jaksic, Nicola Cadenelli, David Buchaca Prats, Jorda Polo, Josep Lluis Berral Garcia, David Carrera Perez

View

Download (PDF)

Tags: Computer science, FPGA, HLS, Linear Algebra, Matrix multiplication, Neural networks, OpenCL

November 17, 2019 by hgpu

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

OpScanner

A Study of Floating-Point Precision Tuning in Deep Learning Operators Implementations

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Exploring the acceleration of Nekbone on reconfigurable architectures

Design and Performance Evaluation of Optimizations for OpenCL FPGA Kernels

Transparent Compiler and Runtime Specializations for Accelerating Managed Languages on FPGAs

When HLS Meets FPGA HBM: Benchmarking and Bandwidth Optimization

It’s all about data movement: Optimising FPGA data access to boost performance

Extending High-Level Synthesis for Task-Parallel Programs

Compiler-Based Tools to Aid in Data Transfer Optimization and On-Chip Debug of Heterogeneous Compute Systems

AnyHLS: High-Level Synthesis with Partial Evaluation

Synergistic CPU-FPGA Acceleration of Sparse Linear Algebra

Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of the HPCChallenge Benchmark Suite

Fast Turnaround HLS Debugging using Dependency Analysis and Debug Overlays

A Highly Parameterizable Framework for Conditional Restricted Boltzmann Machine Based Workloads Accelerated With FPGAs and OpenCL

Recent source codes

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

LC Framework

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

Most viewed papers (last 30 days)