Springer releases Encyclopedia of Parallel Computing

Springer releases Encyclopedia of Parallel Computing

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Springer is pleased to announce the release of the Encyclopedia of Parallel Computing. With over 300 entries, in A-Z format for efficient, user-friendly searches, it surveys the concepts behind the significant shift towards parallel computing in today’s computer industry.

Throughout four volumes, leading international experts in the field, including Jack Dongarra, Michael Flynn, William Gropp, David J. Kuck, David E. Shaw, Marc Snir, and Guy L. Steele Jr., present topics related to the critical demand for continued advances in parallel programming.

David Padua, Editor-in-Chief and a leader in the field, said, “Parallel computing has already impacted or will soon impact everyone who uses a computing device, from supercomputers to laptops, tablets, and smart phones.”

Today’s supercomputers are massively parallel machines with thousands of processors. The fastest supercomputer today uses 705,024 processing cores, capable of 10.51 quadrillion calculations per second. Ten years ago the world’s fastest supercomputer used a total of 8,192 processing cores and was only capable of 12.3 trillion calculations per second, almost one thousand times less powerful. This type of accelerated parallelism is critical to science and engineering, enabling discoveries and designs that would not be possible otherwise. For consumer and mobile devices, parallelism is the only viable strategy for continued performance gains, while also allowing chipmakers to optimize for energy efficiency.

With the need for parallelism at an all-time high, the Encyclopedia of Parallel Computing provides researchers and developers with an authoritative reference that pulls together the tools necessary to take advantage of these pioneering concepts.

Key concepts in the Encyclopedia for professionals, researchers and students of parallel computing include:

• Programming models and programming languages

• Debugging and race detection

• Laws of parallel computing

• Theoretical models of computation

• Supercomputer/high-performance computing machines

• Interconnection networks

“This monumental work will be an invaluable resource for practitioners and students in all areas of computer science,” said Alex Nicolau of the University of California Irvine. “In today’s world where parallel computing is ubiquitous – from desktops to cell phones and game consoles – this reference work will be indispensable.”

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