Titlebook: High Performance Computing - HiPC 2007; 14th International C Srinivas Aluru,Manish Parashar,Viktor K. Prasanna Conference proceedings 2007

兩種語言

CLASH

The Future Is Parallel But It May Not Be Easy failure of frequency scaling not because of breakthroughs in parallel programming or architecture. Progress in automatic compilation of serial programs into multi tasked ones has been slow. A look at parallel projects of the past illustrates problems in performance and programmability. Solving thes

Iatrogenic

indifferent

High Performance Data Mining - Application for Discovery of Patterns in the Global Climate System a wide variety of scientific and engineering disciplines. Data in terabytes range are not uncommon today and are expected to reach petabytes in the near future for many application domains in science, engineering, business, bioinformatics, and medicine. This has created an unprecedented opportunity

翅膀拍動

Type-1-Diabetes

Web Search: Bridging Information Retrieval and Microeconomic Modelingst-growing revenue source for the companies that provide this service. Following a brief overview of the state of the art and how we got there, this talk covers a spectrum of technical challenges arising in web search- ranging from spam detection to auction mechanisms.

micronized

Obvious

ROW-FS: A User-Level Virtualized Redirect-on-Write Distributed File System for Wide Area Applicationrite distributed file system (ROW-FS) is implemented via a user-level proxy that is able to selectively steer Network File System (NFS) RPC calls to one of two servers: a “main” read-only server, and a “shadow” read-write server. By employing virtualization by means of a user-level proxy and using t

Capture

No More Energy-Performance Trade-Off: A New Data Placement Strategy for RAID-Structured Storage Systse of data volume and the emerging of faster disks with higher power requirements, energy consumption of disk based storage systems has become a salient issue. To achieve energy-conservation and prompt responses simultaneously, in this paper we propose a novel energy-saving data placement strategy,

Hdl348

Reducing the I/O Volume in an Out-of-Core Sparse Multifrontal Solverpared to iterative methods. In this context, out-of-core solvers must be employed, where disks are used when the storage requirements are too large with respect to the physical memory available. In this paper, we study how to minimize the . requirements in the multifrontal method, a particular direc