May 17, 2000
Beijing, China
by Rajkumar Buyya & Hai Jin
Abstract: In this talk we will look at some of the tools that are being developed to achieve high performance and to evaluate performance on modern processors. In particular we will look at the ATLAS (Automatically Tuned Linear Algebra Subroutines) and the PAPI (Portable API) projects. The ATLAS project is an ongoing research effort focusing on applying empirical techniques in order to provide portable performance. The focus of PAPI is to provide an easy to use, common set of interfaces that will gain access to these performance counters on all major processor platforms, thereby proving application developers the information they may need to tune their software on different platforms. Our goals are to make it easy for users to gain access to the counters to aid in performance analysis, modeling, and tuning.Jack Dongarra
University of Tennessee and Oak Ridge National Laboratory, USA
System Management Framework
and Tools for Beowulf Cluster
Putchong Uthayopas, Surachai
Paisitbenchapol, Thara Angsakul,Jullawadee Maneesilp
A Scalable, High Performance
Internet Cluster Server
Jian Liu
Benchmarking and Performance
Evaluation of NCHC PC Cluster
Hsi-Ya Chang, Cherng-Yeu
Shen, Chaur-Yi Chou, Shou-Cheng Tcheng, Kuo-Chan Huang
An Optimized MPI Library
for VIA/SCI Cards
Sven Schindler, Wolfgang
Rehm, Carsten Dinkelmann
ATOLL, A New Switched, High
Speed Interconnect in Comparison to Myrinet and SCI
Markus Fischer, Ulrich Bruning,
Jorg Kluge, Lars Rzymianowicz, Mathias Waack
Efficient Reliable Broadcast
for Commodity Clusters
Kwan-Po Wong, Cho-Li Wang
Methods of Improving Communication
Performance in PC Clusters
Tan Yudong, Hu Baosheng,
Peng Qinke, Xu Hongbin
F. Gilfeather, P. Kovatch
Albuquerque High Performance Computing Center
The University of New Mexico
Research On Data Replica
Distribution Pattern for Web Server Clusters
Shen-Haihua, CHen-shimin,
Shen-meiming, Zheng-weimin
Evaluation and Analysis of
a Dynamic Allocation Scheme on a C++-based Parallel Programming Library
Tadanori Tezuka, Berbady
O. Apduhan, Toshinori Sueyoshi, Itsujiro Arita
Hybrid Cluster Computing
with Mobil Objects
Liang Cheng, Ajay Wanchoo,
Ivan Marsic
Distributed Object Replication
in a Cluster of Workstations
Wanlei Zhou, Li Wang
A Dynamic Load Balance Algorithm
Based on Distributed Database System
Yucai Feng, Dong Li, Yi
Zhang, Hengshan Wu
Scheduling Algorithms for
a Fork DAG in NOWs
Zhenying Liu, Binxing Fang,
Yi Zhang, Jianqi Tang
Parallel Stratified and Rotating
Turbulence Simulation based on MPI
Sung Bong Yang, Byung Uck
Kim
Two Models of Parallel Genetic
Algorithms on PC Cluster Systems
Tomo HIROYASU, Mitsunori
MIKI, Yusuke TANIMURA
Network Publishing System
Based on Cluster Computing Technology
Chu Wang, Mei Jinzhong