Cross-vendor programming abstraction for diverse heterogeneous platforms

Cross-vendor programming abstraction for diverse heterogeneous platforms

Hardware specialization is a well-known means to significantly improve the performance and energy efficiency of various application domains. Modern computing systems consist of multiple specialized processing devices which need to collaborate with each other to execute common tasks. New heterogeneou...

Full description

Bibliographic Details
Main Authors:	Topi Leppänen, Atro Lotvonen, Pekka Jääskeläinen
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-10-01
Series:	Frontiers in Computer Science
Subjects:	heterogeneous computing heterogeneous programming OpenCL hardware abstraction layer hardware acceleration built-in kernel
Online Access:	https://www.frontiersin.org/articles/10.3389/fcomp.2022.945652/full

Similar Items

A Flexible and General-Purpose Platform for Heterogeneous Computing
by: Jose Juan Garcia-Hernandez, et al.
Published: (2023-05-01)

Optimizing OpenCL Code for Performance on FPGA: k-Means Case Study With Integer Data Sets
by: Nuno Paulino, et al.
Published: (2020-01-01)

An FPGA Accelerator for Molecular Dynamics Simulation Using OpenCL
by: Hasitha Muthumala Waidyasooriya, et al.
Published: (2016-12-01)

OpenCL-accelerated first-principles calculations of all-electron quantum perturbations on HPC resources
by: Zhikun Wu, et al.
Published: (2023-05-01)

Corrigendum: OpenCL-accelerated first-principles calculations of all-electron quantum perturbations on HPC resources
by: Zhikun Wu, et al.
Published: (2023-06-01)

Resource-Aware Device Allocation of Data-Parallel Applications on Heterogeneous Systems
by: Donghyeon Kim, et al.
Published: (2020-11-01)

Performance Optimization of Object Tracking Algorithms in OpenCV on GPUs
by: Jaehyun Song, et al.
Published: (2022-08-01)

SLePaaS: An Embedded Platform-as-a-Service Facilitating Research on Thermal Management of Embedded Platforms
by: Rakesh Kumar, et al.
Published: (2022-01-01)

EDSSA: An Encoder-Decoder Semantic Segmentation Networks Accelerator on OpenCL-Based FPGA Platform
by: Hongzhi Huang, et al.
Published: (2020-07-01)

OpenCL programming guide /
by: Munshi, Aaftab
Published: (c201)

Identifying attributes of GPU programs for difficulty evaluation
by: Dale Tristram, et al.
Published: (2014-08-01)

CitiusSynapse: A Deep Learning Framework for Embedded Systems
by: Seungtae Hong, et al.
Published: (2021-12-01)

STUDY OF HIGH-SPEED REALIZATION TECHNICS FOR ELEMENTS OF SYMMETRIC ENCRYPTION ALGORITHMS DURING CALCULATIONS ON GRAPHICS PROCESSOR
by: V. A. Udaltsov, et al.
Published: (2018-07-01)

Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer's Disease
by: Denis P Shamonin, et al.
Published: (2014-01-01)

OpenCL Implementation of a Parallel Universal Kriging Algorithm for Massive Spatial Data Interpolation on Heterogeneous Systems
by: Fang Huang, et al.
Published: (2016-06-01)

Contribution to Speeding-Up the Solving of Nonlinear Ordinary Differential Equations on Parallel/Multi-Core Platforms for Sensing Systems
by: Vahid Tavakkoli, et al.
Published: (2020-10-01)

Fixed-Point Processing of the SAR Back-Projection Algorithm on FPGA
by: Don Lahiru Nirmal Hettiarachchi, et al.
Published: (2021-01-01)

Performance-efficient integration and programming approach of DCT accelerator for HEVC in MANGO platform
by: Igor Piljić, et al.
Published: (2019-04-01)

Random Finite Set Based Bayesian Filtering with OpenCL in a Heterogeneous Platform
by: Biao Hu, et al.
Published: (2017-04-01)

ZASTOSOWANIE BIBLIOTEK NUMERYCZNYCH W OBLICZENIACH MEB
by: Krzysztof Król, et al.
Published: (2014-09-01)

HAL-ASOS Accelerator Model: Evolutive Elasticity by Design
by: Vítor Silva, et al.
Published: (2021-08-01)

Heterogeneous computing with OpenCL /
by: Gaster, Benedict
Published: (c201)

Heterogeneous computing with OpenCL 2.0 /
by: Kaeli, David R.
Published: (c201)

Multi-FPGA Accelerator Architecture for Stencil Computation Exploiting Spacial and Temporal Scalability
by: Hasitha Muthumala Waidyasooriya, et al.
Published: (2019-01-01)

Nested MC-Based Risk Measurement of Complex Portfolios: Acceleration and Energy Efficiency
by: Sascha Desmettre, et al.
Published: (2016-10-01)

Hardware Acceleration of Computer Vision and Deep Learning Algorithms on the Edge using OpenCL
by: B. Mishra, et al.
Published: (2019-11-01)

Implementation of Autoencoders with Systolic Arrays through OpenCL
by: Rafael Gadea-Gironés, et al.
Published: (2021-01-01)

Kernel Tuning Toolkit
by: Filip Petrovič, et al.
Published: (2023-05-01)

Utilizing GPGPU in Computer Emulation
by: Peter Jakubco, et al.
Published: (2012-06-01)

Heterogeneous Gpu&Cpu Cluster For High Performance Computing In Cryptography
by: Michał Marks, et al.
Published: (2012-01-01)

FPGA-Based Processor Acceleration for Image Processing Applications
by: Fahad Siddiqui, et al.
Published: (2019-01-01)

Energy-efficient distributed password hash computation on heterogeneous embedded system
by: Branimir Pervan, et al.
Published: (2022-07-01)

Efficient Implementation of NIST LWC ESTATE Algorithm Using OpenCL and Web Assembly for Secure Communication in Edge Computing Environment
by: BoSun Park, et al.
Published: (2021-03-01)

Accelerating AutoDock Vina with GPUs
by: Shidi Tang, et al.
Published: (2022-05-01)

Query processing on OpenCL-based FPGAs : challenges and opportunities
by: Paul, Johns, et al.
Published: (2020)

GPU-accelerated raster map reprojection
by: Petr Sloup
Published: (2016-07-01)

Heterogeneous Distributed Big Data Clustering on Sparse Grids
by: David Pfander, et al.
Published: (2019-03-01)

OpenCL implementation of winograd algorithm /
by: Hoh, Michel Xin Jie, 1993-, author, et al.
Published: (2019)

OpenCL implementation of winograd algorithm /
by: Hoh, Michel Xin Jie, 1993-, author, et al.
Published: (2019)

High Performance Computing PP-Distance Algorithms to Generate X-ray Spectra from 3D Models
by: César González, et al.
Published: (2022-09-01)