Detail Scalable Parallel Computers for Real-Time Signal Processing   Oleh:  Hwang, Kai ; Zhiwei, Xu Jenis: Article from Bulletin/Magazine Dalam koleksi: IEEE Signal Processing Magazine vol. 13 no. 4 (1996), page 50-66. Topik: COMPUTERS; scalable parallel; real - time; signal processing Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: SS26.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel We assess the state - of - the - art technology in massively parallel processors (MPP s) and their variations in different architectural platforms. Architectural and programming issues are identified in using MPPs for time - critical applications such as adaptive radar signal processing. We review the enabling technologies. These include high - performance CPU chips and system interconnects, distributed memory architectures, and various latency hiding mechanisms. We characterize the concept of scalability in three areas : resources, applications, and technology. Scalable performance attributes are analytically defined. Then we compare MPPs with symmetric multiprocessors (SMP s) and clusters of workstations (COW s). The purpose is to reveal their capabilities, limits, and effectiveness in signal processing. We evaluate the IBM SP2 at MHPCC, the Intel Paragon at SDSC, the Gray T3D at Gray Eagan Center, and the Gray T3E and ASCI TeraFLOP system proposed by Intel. On the software and programming side, we evaluate existing parallel programming environments, including the models, languages, compilers, software tools, and operating systems. Some guidelines for program parallelization are provided. We examine data - parallel, shared - variable, message - passing, and implicit programming models. Communication functions and their performance overhead are discussed. Available software tools and communication libraries are also introduced. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

Copyright © 2006, 2007 Unika Atma Jaya, all rights reserved