UCSD Center for
Multicore and Manycore Parallelism





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Vision Benchmark Suite

Think Parallel !


Our research group is focused on examining end-to-end solutions to the problem of turning massive quantities of VLSI resources into useful computational artifacts. We're interested in the following sorts of questions:
  • What will be the "killer apps" for emerging parallel architectures like multi-core and tiled?

  • How do we modify the architecture to make parallelism easier to use?

  • What programming constructs and compiler techniques will enable users to more easily program parallel hardware?

  • How can we leverage specialization in processors to attack the recent "power wall"
    which has stagnating processor frequencies?