high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia Jetson AGX Xavier

Real-Time High-Performance Computing for Embedded Control Systems

Alejandro Josué Calderón Torres

View

Tags: Code generation, Computer science, Embedded high-performance computing, nVidia, nVidia Jetson AGX Xavier, nVidia Jetson Nano, nVidia Jetson TX2, OpenCL, Tesla T4, Tesla V100, Thesis

August 7, 2022 by hgpu

FC_ACCEL: Enabling Efficient, Low-Latency and Flexible Inference in DNN Fully Connected Layers, using Optimized Checkerboard Block matrix decomposition, fast scheduling, and a resource efficient 1D PE array with a custom HBM2 memory subsystem

Nick Iliev, Amit R Trivedi

View

Tags: CNN, Computer science, Deep learning, FPGA, Matrix decomposition, Neural networks, nVidia, nVidia Jetson AGX Xavier, Performance

February 13, 2022 by hgpu

Performance Analysis and Optimization Opportunities for NVIDIA Automotive GPUs

Hamid Tabani, Fabio Mazzocchetti, Pedro Benedicte, Jaume Abella, Francisco J. Cazorla

View

Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Jetson AGX Xavier, nVidia Jetson TX2, Performance

April 25, 2021 by hgpu

Using Parallel Programming Models for Automotive Workloads on Heterogeneous Systems – a Case Study

Lukas Sommer, Florian Stock, Leonardo Solis-Vasquez, Andreas Koch

View

Tags: Automotive, Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Jetson AGX Xavier, nVidia Jetson TX2, OpenCL, OpenMP

January 26, 2020 by hgpu

* * *

PipeCNN: An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

An OpenCL-Based FPGA Accelerator for Faster R-CNN

MFC: High-fidelity multiphase flow simulation

Early Application Experiences on a Modern GPU-Accelerated Arm-based HPC Platform

Magicube

Efficient Quantized Sparse Matrix Operations on Tensor Cores

Morpheus: Dynamic matrix type and algorithms for sparse matrices

Exploiting dynamic sparse matrices for performance portable linear algebra operations

Energon-AI: Large-scale model inference

EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models

segTACO

Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU

ScalSALE: Scalable SALE Benchmark Framework for Supercomputers

SCALSALE: Scalable SALE Benchmark Framework for Supercomputers

Lina: High Level Analysis Tool for FPGA Accelerators

Lina: a fast design optimisation tool for software-based FPGA programming

GEVO: GPU code optimization using EVOlutionary computation

Understanding the Power of Evolutionary Computation for GPU Code Optimization

GPU Multiversion B-Tree

Fully Concurrent GPU Data Structures

See all packages

* * *

* * *

HGPU group © 2010-2022 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: