Couverture Programming Heterogeneous Hardware via Managed Runtime Systems

Programming Heterogeneous Hardware via Managed Runtime Systems

Fumero, JuanKotselidis, ChristosStratikopoulos, Athanasios

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Description

This book provides an introduction to both heterogeneous execution and managed runtime environments (MREs) by discussing the current trends in computing and the evolution of both hardware and software.

Détails

ISBN/GTIN978-3-031-49558-8

Type de produitLivre

ReliureCartonné

ÉditeurSpringer

Date de parution11.04.2024

Edition2024

SérieSpringerBriefs in Computer Science

Pages152 pages

LangueAnglais

DimensionsLargeur 155 mm, Hauteur 235 mm, Épaisseur 9 mm

Poids242 g

N° article48731469

CataloguesBuchzentrum

Source des données n°46439792

Plus de détails

Série

Fast Compact Algorithms and Software for Spline Smoothing

Time-of-Flight Cameras

Computational Movement Analysis

Homomorphic Encryption and Applications

Automatic Design of Decision-Tree Induction Algorithms

Homomorphic Signature Schemes

Big Data 2.0 Processing Systems

Ontology-based Procedural Modelling of Traversable Buildings Composed by Arbitrary Shapes

Cross-Cultural Multimedia Computing

Physical Play and Children´s Digital Games

Innovative Technologies in Everyday Life

Cloud Based 5G Wireless Networks

Android Application Security

Matrix and Tensor Factorization Techniques for Recommender Systems

Information Security of Highly Critical Wireless Networks

Privately and Publicly Verifiable Computing Techniques

Crowd-Powered Mobile Computing and Smart Things

An Introduction to Distance Geometry applied to Molecular Geometry

Systems for Big Graph Analytics

Mobile Information Retrieval

Discriminative Pattern Discovery on Biological Networks

Ontology-Based Data Access Leveraging Subjective Reports

Compilation for Secure Multi-party Computation

Generalized Jeffrey Conditionalization

Research and Development in Digital Media

Image Quality Assessment of Computer-generated Images

Culture on the Edge of Chaos

Bioinformatics Techniques for Drug Discovery

A Survey of Fractal Dimensions of Networks

Syntactic n-grams in Computational Linguistics

Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

Foundations of Blockchain

DevOps for Airborne Software

Incentive Mechanism for Mobile Crowdsensing

Continuous Biometric Authentication Systems

Edge Intelligent Computing Systems in Different Domains

Programming Heterogeneous Hardware via Managed Runtime Systems

Exception Handling

Reinforcement Learning for Reconfigurable Intelligent Surfaces

Manifold Learning

Auteur

Fumero, JuanKotselidis, ChristosStratikopoulos, Athanasios

âJuan Fumero is a Research Fellow at The University of Manchester working on Just In Time Compilers, GPU parallel computing, and GPU programming models for managed runtime systems. His research is focused on Heterogeneous Virtual Machines and language runtimes designed for accelerating applications using modern hardware, such as Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs). Furthermore, he is an Intel Innovator and participates in two advisory boards for the oneAPI software ecosystem (for the oneAPI language SPEC and the oneAPI Hardware Group).Athanasios Stratikopoulos is a Research Fellow at the University of Manchester with specialization on heterogeneous architectures and reconfigurable accelerators. He has authored more than 15 research articles in the field of hardware acceleration, system software and programming languages. Currently his work involves heterogeneous architectures ranging from low-power devices to high-end cloud deployments. His interests include computer architecture, high-performance computing, virtualization, and hardware acceleration.Christos Kotselidis is an Associate Professor (Reader) at The University of Manchester and a Chief Engineer at Pierer Innovation. His research interests lie in the areas of managed runtime systems, CPU microarchitecture, compilers, memory management, and heterogeneous hardware acceleration. He is currently leading the TornadoVM project which enables hardware acceleration of Java applications along with several EU projects in the areas of green computing, cybersecurity, and edge-to-cloud system architectures.