Room 1034 ETB
Peter Hofstee, IBM Austin Research Laboratory
Increasingly Big Data computing is being applied to some of the world’s most difficult, most urgent problems. This talk will describe the nature of Big Data computing and present technology that has been developed to allow Big Data computing systems to address these challenges. We first discuss trends in data characteristics and data sources. We next discuss the design of systems for Big Data and look at how these systems might evolve as both the problems we try to solve and the middleware we use to solve them change. Finally we look at shared-memory acceleration in this context based on some prototype accelerated Power 7 systems and some recently disclosed attributes of the Power 8 processor.
Bio: H. Peter Hofstee currently works at the IBM Austin Research Laboratory on workload-optimized and hybrid systems. Peter has degrees in theoretical physics (MS, Rijks Universiteit Groningen, Netherlands) and computer science (PhD, California Inst. of Technology). At IBM Peter has worked on microprocessors, including the first CMOS processor to demonstrate GHz operation (1997), and he was the chief architect of the synergistic processor elements in the Cell Broadband Engine, known from its use in the Sony Playstation 3 and the Roadrunner supercomputer that first broke the 1 Petaflop Linpack benchmark. His interests include VLSI, multicore and heterogeneous microprocessor architecture, security, system design and programming. Peter has over 100 patents issued or pending.
Host: Dr. Hu