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Description

Parallel computing has become ubiquitous and relates to challenging computational problems in science via business-driven computing to mobile computing. The scope has widened dramatically over the last decade. This panel will debate and speculate on how the parallel computing landscape is expected to change in the years to come. Areas of focus will include: Computing platforms: How will we be able to maintain the performance growth of the past and what will be the major challenges in the next 10 years and beyond that? What technical barriers are anticipated and what disruptive technologies are behind the corner? Software: How will software infrastructures evolve to meet performance requirements in the next 10 years and beyond? How will we ever be able to hide parallelism obstacles for the masses and what is the road forward towards that? Algorithms: What will be the major computational problems to tackle in the next 10 years and beyond? What are the most challenging algorithmic problems to solve? Applications: What will be the next wave of grand challenge problems to focus on in the next 10 years and beyond? What will be the major performance driving applications in the general and mobile computing domains? Panelists: Doug Burger, Microsoft Research; Wen-mei Hwu, University of Illinois, Urbana-Champaign; Vipin Kumar, University of Minnesota; Kunle Olukotun, Stanford University; David Padua, University of Illinois, Urbana-Champaign; Burton Smith, Microsoft.

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