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Computer System Architecture

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Date Posted: 7/21/2008 9:49:57 PM  Status: Live
Computer System Architecture
Course Textbook Chapter Problem
Computer Architecture N/A N/A N/A
Question Details:
Please, Could anybody help to write 4 different Abstracts by reading 4 different articles on Computer Systems Architecture?

Its very urgent

Thanks

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Karma Points: 527
Date Posted: 7/21/2008 11:48:48 PM  Status: Live
Asker's Rating: None Provided    Moderator's Rating: Somewhat Helpful
Response:
hii frnd,
ya offcourse i also here for ur help..


1)an computer engineering, computer architecture is the conceptual design and fundamental operational structure of a computer system. It is a blueprint and functional description of requirements (especially speeds and interconnections) and design implementations for the various parts of a computer — focusing largely on the way by which the central processing unit (CPU) performs internally and accesses addresses in memory.........

A typical vision of a computer architecture as a series of abstraction layers: hardware, firmware, assembler, kernel, operating system and applications (see also Tanenbaum 79).
A typical vision of a computer architecture as a series of abstraction layers: hardware, firmware, assembler, kernel, operating system and applications (see also Tanenbaum 79).


2)computer system architecture is presented. A single numeric processor and multiple interactive processors are used to provide sustained compute performance in numeric applications. The numeric processors' unique directed dataflow architecture supports the parallelization of a much broader range of algorithms than vector processor architectures. Applications can be ported to the Cydra 5 and achieve very high performance with significantly less reprogramming than on alternative architectures. The numeric processor requires significantly less application reprogramming to make efficient use of its architecture to accelerate typical numeric applications. The numeric processor parallelizes programs with recurrences, conditionals within loops, unstructured memory reference, and other difficult-to-vectorize program constructs...........

3)

Abstract

A computer system includes a bus system; a pluggable central processing
unit circuit board, coupled to the bus system; a pluggable logic board
coupled to the pluggable central processing unit circuit board through the
bus system; a pluggable input/output board coupled to the pluggable logic
board through the bus system; a first connector unit for directly
connecting the pluggable central processing unit circuit board to a first
predetermined location on the pluggable logic board; and a second
connector unit for directly connecting the pluggable logic board to a
predetermined location on the pluggable input/output board............

4)

Abstract:

Terascale computing is commonplace in today's HPC world. For example, at LLNL, users have a choice of five separate terascale systems. With ASCI Purple, BlueGene/L, and a 11 TF Linux cluster, LLNL will continue this trend into the foreseeable future. We have found that this unprecedented degree of parallelism exposes performance limitations in new and existing applications. However, analyzing and predicting performance at this scale is challenging for several reasons. First, performance analysis techniques must strike the appropriate balance between instrumentation resolution and overhead. Second, users and architects must gain insight from these potentially massive datasets. Third, to predict application performance, designers need efficient simulation strategies for these large, complex datasets.

To this end, we propose three new solutions for these challenges, respectively. First, we introduce a novel message sampling technique for MPI applications that reduces instrumentation overhead dramatically and allows runtime analysis of performance data. Second, we help users distill massive performance datasets by using decision tree classification, a supervised machine learning technique, to classify the performance of an application's individual communication operations. Third, to accelerate the practice of performance prediction, we use tracing to capture high-level communication and computation behaviors, and then, we use a trace-driven simulator to experiment with the architectural design space.

Experimental results from numerous applications on systems demonstrate that our new solutions can improve the process of performance analysis.

  i hope it will help u....






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