By David Culler, Jaswinder Pal Singh, Anoop Gupta Ph.D.
ISBN-10: 1558603433
ISBN-13: 9781558603431
The most enjoyable improvement in parallel laptop structure is the convergence of routinely disparate techniques on a standard desktop constitution. This booklet explains the forces in the back of this convergence of shared-memory, message-passing, info parallel, and data-driven computing architectures. It then examines the layout matters which are severe to all parallel structure around the complete diversity of contemporary layout, protecting facts entry, communique functionality, coordination of cooperative paintings, and proper implementation of valuable semantics. It not just describes the and software program recommendations for addressing each one of those concerns but additionally explores how those strategies engage within the similar procedure. reading structure from an application-driven standpoint, it offers finished discussions of parallel programming for prime functionality and of workload-driven overview, according to realizing hardware-software interactions.
- synthesizes a decade of analysis and improvement for training engineers, graduate scholars, and researchers in parallel desktop structure, process software program, and purposes development
- presents in-depth software case reviews from special effects, computational technology and engineering, and information mining to illustrate sound quantitative evaluate of layout trade-offs
- describes the method of programming for functionality, together with either the architecture-independent and architecture-dependent features, with examples and case-studies
- illustrates bus-based and network-based parallel structures with case experiences of greater than a dozen vital advertisement designs
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Extra info for Parallel computer architecture : a hardware/software approach
Example text
4 Convergence Evolution of the hardware and software has blurred the once clear boundary between the shared memory and message passing camps. First, consider the communication operations available to the user process. 9/10/97 DRAFT: Parallel Computer Architecture 53 Introduction Power 2 CPU Picture of IBM SP-2 goes here IBM SP-2 Node L2 $ General Interconnection Network fromed from 8-port switches Memory Bus 4-way interleaved DRAM Mem Controller I/O DMA i860 NI DRAM Micro Channel Bus Figure 1-23 IBM SP-2 Message Passing Machine The IBM SP-2 is a scalable parallel machine constructed essentially out of complete RS6000 workstations.
Computer architecture has two dis40 DRAFT: Parallel Computer Architecture 9/10/97 Convergence of Parallel Architectures 350 300 319 313 Number of Systems 284 250 200 239 187 198 MPP PVP SMP 150 110 106 100 106 63 50 0 0 11/93 11/94 11/95 73 11/96 Figure 1-12 Type of systems used in 500 fastest computer systems in the world. Parallel vector processors (PVPs) have given way to microprocessor-based Massively Parallel Processors (MPPs) and bus-based symmetric shared-memory multiprocessors (SMPs) at the high-end of computing.
Another is the Intel Paragon, illustrated in Figure 1-24, which integrates the network interface more tightly to the processors in an SMP nodes, where one of the processors is dedicated to supporting message passing. A processor in a message passing machine can name only the locations in its local memory, and it can name each of the procesors, perhaps by number or by route. A user process can only name private addresses and other processes; it can transfer data using the send/receive calls. 4 Convergence Evolution of the hardware and software has blurred the once clear boundary between the shared memory and message passing camps.
Parallel computer architecture : a hardware/software approach by David Culler, Jaswinder Pal Singh, Anoop Gupta Ph.D.
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