By Mladen Berekovic, Christian Müller-Schloer, Christian Hochberger, Stephan Wong
This ebook constitutes the refereed complaints of the twenty second overseas convention on structure of Computing platforms, ARCS 2009, held in Delft, The Netherlands, in March 2009.
The 21 revised complete papers awarded including three keynote papers have been rigorously reviewed and chosen from fifty seven submissions. This year's distinctive concentration is determined on power expertise. The papers are geared up in topical sections on compilation applied sciences, reconfigurable and functions, great parallel architectures, natural computing, reminiscence architectures, enery understanding, Java processing, and chip-level multiprocessing.
Read or Download Architecture of Computing Systems; ARCS 2009 PDF
Best systems analysis & design books
As dot. com businesses grapple with inflexible industry stipulations and we hold listening to how the massive know-how avid gamers are being punished on Wall road, it turns into effortless to think about the net as a fad. the net frenzy could have subsided, yet curiosity within the net as a company and advertising instrument continues to be powerful.
Celebrating its twentieth anniversary, Silberschatz: working structures ideas, 6th variation, keeps to supply a high-quality theoretical origin for knowing working structures. The 6th version bargains stronger conceptual assurance and extra content material to bridge the distance among strategies and real implementations.
- Scripting VMware Power Tools: Automating Virtual Infrastructure Administration
- Design of Reservation Protocols for Multimedia Communication
- Doctrine ORM for PHP
- A Complete Guide to Portals and User Experience Platforms
- Integrated Approach to Web Performance Testing: A Practitioner's Guide
Extra resources for Architecture of Computing Systems; ARCS 2009
Figure 2(b) shows the loop unrolling approach, where the innermost loop is completely unrolled and mapped onto a processor element (PE) with 4 MUL and ADD units. In addition to full loop unrolling, one can partially unroll the loop nest for an iteration variable. The unroll factor u denotes how often the loop body is duplicated. In 20 (a) F. Hannig, H. Dutta, and J. Teich (b) no. of taps (j) parallel circuit x time (i) + loop unrolling x x x MUL MUL MUL MUL ADD ADD ADD ADD x + + + (c) processor array PE0 clustering x x + x + x + + PE1 PE2 PE3 MUL MUL MUL MUL ADD ADD ADD ADD Fig.
8] and  look into this issue further. Both counting and sampling modes of the performance event counters are tested, and the measured counts are compared with the predicted ones. Statistical error in sampling mode is mentioned in , with a brief description of the diﬀerence between the counts obtained from sampling results and the real execution counts. No further investigation of the issue is made. In  and  simulation accuracy is studied.  uses Euclidean distance to compare the diﬀerence of frequency vectors and calculates the error with the distance between simulated results and real execution, and the variance with the average squared distances.
4 Experiment We perform the experiment on SPEC CPU 2006  benchmarks with various sampling periods. All benchmarks with diﬀerent input sets in SPEC CPU 2006 have been tested, totally 55 test cases. 1 Test Platform The test platform is a workstation with 2 AMD opteron dual core processors running at 2210 MHz. The size of the system RAM is 2 GB. 2 with -O2 switch. 3, running in 64-bit mode. The kernel is patched with perfmon  to interface the performance event counters. 3. pfmon is used to perform the sampling and print out the counts histogram of IP addresses.