Grad school

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)	Application Deadline	GREs?	Fees	Recs go to...
Carnegie Mellon (Computer Science)		N
Georgia Tech (Computer Science)	2009-12-15	Y	$50	Alan Glass
Georgia Tech (Computational Science & Engineering)	2009-12-15	Y	$50	Alan Glass
Harvard (Computer Science)	2009-12-15	Y	$105	Online
UIUC (Computer Science)	2009-12-15	N	$60	Online
MIT (Computer Science)		Y	$75	Online
MIT (Computational Systems Biology)		Y
University of California at Berkeley (Computer Science)	2009-12-16	N	$70	Online
University of Washington (Computer Science)		Y
University of Waterloo (Computer Science)		Y

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

• CS6262 - Network Security with Professor Wenke Lee (3 hours) (Information Security)
• CS6290 - High Performance Computer Architecture with Professor Hyesoon Kim (3 hours) (Systems)
• CS6260 - Applied Cryptography with Professor Sasha Boldyreva (3 hours) (Information Security)

Spring 2009

• CS8803MCA - Multicore and Manycore Architecture with Professor Tom Conte (3 hours) (Systems)
• CS7530 - Randomized Algorithms with Professor Richard Lipton (3 hours) (Theory)
• CS6238 - Secure Systems with Professor Mustaq Ahamed (3 hours) (Information Security)
• CS6241 - Compiler Design with Professor Santosh Pande (3 hours) (Systems)

Fall 2009

• CS6390 - Theory of Programming Languages with Professor Spencer Rugaber (3 hours) (Programming Languages)
• CSE6230 - High Performance Parallel Computing with Professor Rich Vuduc (3 hours) (CSE)
• CSE6140 - Scientific Computing Algorithms with Professor David Bader (3 hours) (CSE)
• CS8001CAS - Computer Architecture Seminar with Professor Nate Clark (1 hour) (Systems)
• Teaching Assistant: CS6290 - High Performance Computer Architecture for Professor Milos Prvulovic

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

• OIT Pharos is now used for printing.
• The Library has a Computer Science Research page
• TSO's page on the Hogwarts Cluster

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.