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Grad school: Difference between revisions

From dankwiki
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| Harvard ([https://apply.embark.com/Grad/Harvard/GSAS/25 Computer Science]) || 2009-12-15 || Y || $105 || Y || Y || pending
| Harvard ([https://apply.embark.com/Grad/Harvard/GSAS/25 Computer Science]) || 2009-12-15 || Y || $105 || Y || Y || pending
|- style="color: green;"
|- style="color: green;"
| UIUC ([https://app.applyyourself.com/?id=uiuc-grad Computer Science]) || 2009-12-15 || N || $60 || Y || ||
| UIUC ([https://app.applyyourself.com/?id=uiuc-grad Computer Science]) || 2009-12-15 || N || $60 || Y || Y || pending
|- style="color: green;"
|- style="color: green;"
| MIT ([http://apply.csail.mit.edu/apply/login/?next=/ Computer Science]) || 2009-12-15 || Y || $75 || Y || Y || pending
| MIT ([http://apply.csail.mit.edu/apply/login/?next=/ Computer Science]) || 2009-12-15 || Y || $75 || Y || Y || pending

Revision as of 23:35, 9 December 2009

I should have been accomplishing something more useful than learning ImageMagick...
I should have been accomplishing something more useful than learning ImageMagick...

PhD Applications

  • General GRE: 2007-11-16
    • Verbal: 680/800 (96th percentile) Quantitative: 800/800 (92nd percentile)
  • CS GRE Subject Test: 810 (2009-10-10)
School (Program) Deadline GREs Fees Recs Statement Result
Carnegie Mellon (Computer Science) N aborted 2009-12-09
Georgia Tech (Computer Science) 2009-12-15 Y $50 Y Y pending
Georgia Tech (CSE) 2009-12-15 Y $50 Y Y pending
Harvard (Computer Science) 2009-12-15 Y $105 Y Y pending
UIUC (Computer Science) 2009-12-15 N $60 Y Y pending
MIT (Computer Science) 2009-12-15 Y $75 Y Y pending
MIT (Computational Systems Biology) 2009-12-15 N $75 aborted 2009-12-09
UC Berkeley (Computer Science) 2009-12-16 N $70
UWashington (Computer Science) Y aborted 2009-12-09
UWaterloo (Computer Science) Y aborted 2009-12-09

MSCS at the Georgia Institute of Technology

I am currently a Masters student at Georgia Tech's College of Computing, following the MSCS track. I specialize in:

  • high-performance computing
    • algorithms, programming methodologies, languages and compilers for multicore/manycore
    • cache-, cpu-, and topology-adaptive programming methodologies, compilers and libraries
  • ...and thus, perhaps, computational solutions to Big Problems. Cancer sucks. Fusion's hard.
    • Let's give the scientists some bigger boxing gloves.
  • algorithms for, and implementation of, high-throughput/low-latency pattern matching
    • for network security (wire-speed, low-latency, rich operators)
    • and bioinformatics (high-volume, gappy/fuzzy, multidimensional)
    • especially using architecture-aware automata theory (Memory-tuned, SIMD-based Glushkov, Thompson, XFA, etc...)
  • intrusion detection and prevention (theory and implementation)

Upon entering MSCS in Fall 2008, I'd have said intrusion detection first, programming language design second, and esoteric automata theories third. Indeed, many things do come to pass.

I've prepared some Disarmingly Forthright Advice for CSMS students at this (as of 2009) 9th-ranked graduate computer science program of ours, and also some preparation materials for the CS Subject Exam GRE. Take these animadversions for whatever they're worth.

Fall 2008

Spring 2009

Fall 2009

Spring 2010

  • CSE8903 - Special Problem: "UNIX I/O in a Multicore, Heterogenous, NUMA World" with Professor Rich Vuduc (3 hours) (CSE Research)
  • CS4803DGC - Design of Game Consoles with Professor Hyesoon Kim (3 hours) (Systems)
  • CS8803SS - Software Security with Professor Jonathan Giffin (3 hours) (Information Security)
  • CS8803DC - Dynamic Compilation and Virtual Runtimes with Professor Nate Clark (3 hours) (Systems)
  • CS8001CAS - Computer Architecture Seminar with Professor Tom Conte (1 hour) (Systems)

GT College of Computing Notes

General notes

  • Dianne O'Leary's "Graduate Study in the Computer and Mathematical Sciences: A Survival Manual" is pretty outstanding (aside from the God stuff, which you can take or leave). It's full of pithy gems like this (quoted from the 2009-08-21 version):

    It is possible to spend almost all of your time in literature review and seminars. It is easy to convince yourself that by doing this you are working hard and accomplishing something. The truth of the matter is that nothing will come of it unless your are an active reader and listener and unless you assign yourself time to develop your own ideas, too. It is impossible to "finish a literature review and then start research". New literature is always appearing, and as your depth and breadth increases, you will continually see new connections and related areas that must be studied.

    and:

    If you have a full or part-time job outside the university, you may feel that you are between two worlds, without belonging to either one. Neither the university nor the workplace is well adapted to dealing with the other, and each may place demands that are incompatible with those of the other. Your biggest problems may be the double commute, scheduling difficulties, and isolation.

    I can certainly vouch for this last.