Guide to DataFlow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example [Hardcover]

This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more than 20 countries, and from research carried out by Maxeler Technologies, Inc. Topics and features: presents a thorough introduction to DataFlow supercomputing for big data problems; reviews the latest research on the DataFlow architecture and its applications; introduces a new method for the rapid handling of real-world challenges involving large datasets; provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine; includes a step-by-step guide to the web-based integrated development environment WebIDE.

The DataFlow Paradigm.- Selected Case Studies.- An Example Application: Fourier Transform.- Using the WebIDE.

Veljko Milutinovi is a Professor in the Department of Computer Engineering at the University of Belgrade, Serbia. He is a member of the Scientific Advisory Board of Maxeler Technologies, and a coauthor of two seminal DataFlow-oriented papers: Moving from Petaflops (on Simple Benchmarks) to Petadata per Unit of Time and Power (on Sophisticated Benchmarks) and FPGA Accelerator for Floating-Point Matrix Multiplication.

Jakob Salom is a member of the Mathematical Institute of the Serbian Academy of Sciences and Arts. He has delivered numerous DataFlow courses at a number of European universities.

Nemanja Trifunovic is a Project Manager at Maxeler Technologies, Palo Alto, CA, USA. He is the author of a number of Maxeler-based DataFlow implementations and related toolӎ