2001/06/15 by David M. Mackie, Mackie, David M.
Computer Science · Mathematics · #C.m #Cloud Computing and Resource Management #Coding (social sciences) #Computer network #Computer science #D.m #Distributed #Distributed and Parallel Computing Systems #Distributed computing #FOS: Computer and information sciences #Mathematical optimization #Mathematics #Operating system #Parallel #Parallel Computing and Optimization Techniques #Programming language #Quality of service #Scheduling (production processes) #Set (abstract data type) #Simple (philosophy) #Software #Supercomputer #Throughput #and Cluster Computing (cs.DC) #cs.DC
paper · pdf · doi:10.48550/arxiv.cs/0106038
published in arXiv (Cornell University) (Cornell University) · 5 pgs., 5 figs., a step-by-step "how-to" report plus a case study, for networked PCs with Windows
arxiv created 2001/06/15 · openalex publication_date 2001/06/15 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
High-throughput computing projects require the solution of large numbers of problems. In many cases, these problems can be solved on desktop PCs, or can be broken down into independent "PC-solvable" sub-problems. In such cases, the projects are high-performance computing projects, but only because of the sheer number of the needed calculations. We briefly describe our efforts to increase the throughput of one such project. We then explain how to easily set up a distributed computing facility composed of standard networked PCs running Windows 95, 98, 2000, or NT. The facility requires no special software or hardware, involves little or no re-coding of application software, and operates almost invisibly to the owners of the PCs. Depending on the number and quality of PCs recruited, performance can rival that of supercomputers.