Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Process Algebra for Parallel and Distributed Processing

by Michael Alexander
Save 35% Save 35%
Current price ₹5,278.00
Original price ₹8,120.00
Original price ₹8,120.00
Original price ₹8,120.00
(-35%)
₹5,278.00
Current price ₹5,278.00

Imported Edition - Ships in 12-14 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9780367386108
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Taylor & Francis
  • Publisher Imprint: CRC Press
  • Publication Date:
  • Pages: 440
  • Original Price: GBP 62.99
  • Language: English
  • Edition: N/A
  • Item Weight: 749 grams
  • BISAC Subject(s): General, Machine Theory, and Number Systems

Collects the Latest Research Involving the Application of Process Algebra to Computing

Exploring state-of-the-art applications, Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoning--process algebra--has become a powerful tool for solving design and implementation challenges of concurrent systems.

Parallel ProgrammingDivided into three parts, the book begins by parallelizing an algorithm for the Cell Broadband Engine processor of IBM, Sony, and Toshiba. It also develops a runtime environment that can be ported to different parallel platforms and describes the formal model of action systems.

Distributed SystemsThe next part presents a process algebra (mCRL2) that targets distributed applications, looks at how to turn prose descriptions into unambiguous specifications, extends pi-calculus to create a service-oriented mobility abstract machine, and introduces the Channel Ambient Machine for mobile applications.

Embedded SystemsThe final section combines state-based Z with the event-based process algebra CSP in a formal methodology called Circus. It also develops a pair of process algebras (PARS) to address the problem of scheduling in real-time embedded systems and emphasizes the reuse of concurrent artifacts across different hardware platforms.

Highlighting recent research work, this volume addresses multicore programming problems and the evolution of the growing body of concurrency-enabled languages. It proposes solutions to the problems of designing and implementing today's concurrency-constrained multicore processor and cloud architectures.

Dr. Michael Alexander, IBM, Vienna, Austria

Dr. William Gardner, University of Guelph, Ontario, Canada

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us