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Mary Hall
- Research Interests:
- Automatic performance tuning, Model-guided empirical optimization,
Interprocedural analysis and optimization,
parallelizing compilers, programming support for optimization
and parallelization, PIM-based architectures, compiling to FPGA-based systems
- Address:
- School of Computing MEB 3466
- University of Utah
- Salt Lake City, UT 84112
- (801) 585-1039
- E-mail: mhall@cs.utah.edu
Current Research
Our research focuses on compiler-based approaches to obtaining high performance on state-of-the-art and experimental architectures, including multi-cores, GPUs and petascale platforms. We are developing auto-tuning compiler technology to systematically map application code to make efficient use of these diverse architectures. An auto-tuning compiler generates a set of alternative implementations of a computation, and uses empirical measurement to select the best-performing solution. Our compiler can work automatically or collaboratively with application programmers to accelerate their performance tuning and in some cases, produce results far better than is possible with manual tuning. Our group has access to DOE Leadership Class computing facilities, the University of Utah Center for High Performance Computing systems, and an Nvidia Tesla system with over 30,000 cores.
Current Professional Activities
ACM History Committee, SIG Liaison
Program Chair, CGO 2009
Workshop Co-Chair, SC 08
Teaching Activities
Crash Course in Compilers for Parallel Computing, Fall 2008
CS 6963, Parallel Programming for GPUs, Spring 2009
Current Projects
Previous Projects
- DIVA, a Data-Intensive Architecture
- DEFACTO, Design Environment for Adaptive Computing Technology
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