Topic in parallel computing

Question

Dear All,

I am doing my research in Parallel processing, i want some new topics to carry my research in parallel processing.

Please, suggest me some good topics...

Answer 1

Good news --- there's no end of research projects :-)  First, I'll pass down some advice:  don't create a new programming language, we don't need another language.  Okay, now some topics off the top of my head:

  - tools:  static analysis (find errors, identify parallelism in sequential code, ...), run-time analysis to detect errors, debuggers, profilers that can tell us about power usage / cache effectiveness / multicore effectiveness

  - rethinking standard algorithms for parallelism, caching, power usage --- e.g. what's the best sort with regards to caching?  power usage?  Parallelism?  This is done, but lots of other algs to revisit

  - rethinking data structures...  For example, "Linked lists are, like, so last century".

  - compiler optimizations for power?  caching?  parallelism? 

  - can we make transactional memory practical?  What are other new, novel ideas to add to existing languages?

  - we have threads, futures, and tasks.  What's the next imperative language extension?  What about GPUs?  Many-core where we have heavy-weight CPU cores and lighter-weight (aka power-friendly) ARM-like cores? 

  - education?  When and how to teach all this?

And this is just parallel processing from the single-machine core perspective.  What about multi-machine parallelism, aka HPC?  Exascale?  HPC in the cloud?  Oh gosh, there's no end of work to do, which is what makes it so exciting...

Good luck!

Answer 2

A research topic: How to modify the C++ AMP compiler/runtime, so that using the C++ AMP simple model, takes advantage of tile_static memory automatically under the covers.

For reference, the C++ AMP open spec: http://blogs.msdn.com/b/nativeconcurrency/archive/2012/02/03/c-amp-open-spec-published.aspx

Cheers

Daniel

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