Heterogeneous System Architecture

A New Compute Platform Infrastructure
Erscheinungsjahr 2015
ISBN: 978-0-12-800386-2
Verlag: Elsevier Science

Buch, Englisch, 206 Seiten, Format (B × H): 189 mm x 233 mm, Gewicht: 453 g

Heterogeneous Systems Architecture - a new compute platform infrastructure presents a next-generation hardware platform, and associated software, that allows processors of different types to work efficiently and cooperatively in shared memory from a single source program. HSA also defines a virtual ISA for parallel routines or kernels, which is vendor and ISA independent thus enabling single source programs to execute across any HSA compliant heterogeneous processer from those used in smartphones to supercomputers.

The book begins with an overview of the evolution of heterogeneous parallel processing, associated problems, and how they are overcome with HSA. Later chapters provide a deeper perspective on topics such as the runtime, memory model, queuing, context switching, the architected queuing language, simulators, and tool chains. Finally, three real world examples are presented, which provide an early demonstration of how HSA can deliver significantly higher performance thru C++ based applications. Contributing authors are HSA Foundation members who are experts from both academia and industry. Some of these distinguished authors are listed here in alphabetical order: Yeh-Ching Chung, Benedict R. Gaster, Juan Gómez-Luna, Derek Hower, Lee Howes, Shih-Hao HungThomas B. Jablin, David Kaeli,Phil Rogers, Ben Sander, I-Jui (Ray) Sung.

Autoren/Hrsg.

Hwu, Wen-Mei W

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur

Inhaltsverzeichnis

1. Introduction 2. HSA Overview3. HSAIL - Virtual Parallel ISA4. HSA Runtime5. HSA Memory Model6. HSA Queuing Model7. Compilation Technology8. Application Use Cases: Platform Atomics9. HSA Simulators: Simulating HSA in Multi2Sim

Über Autor(innen)

Hwu, Wen-Mei W
Wen-mei W. Hwu
is a Senior Director of
Research of NVIDIA and the
Sanders-AMD Endowed Chair
Professor Emeritus of Electrical
and Computer Engineering
at the University of Illinois
at Urbana-Champaign. His
work focuses on parallel
computing-covering
architecture, implementation,
compilers, and algorithms. Dr.
Hwu has received numerous
honors, including the ACM/
IEEE Eckert-Mauchly Award,
ACM Grace Murray Hopper
Award, IEEE B.R. Rau Award.
He is an IEEE and ACM
Fellow. He earned his Ph.D.
in Computer Science from UC
Berkele