|

home
publications
teaching
short CV
personal
the pub
|
home
Research Areas and Interests

Digital signal processing (theory, software, hardware), high performance scientific computing, compilers, applied mathematics, representation theory of algebras; earlier: symbolic computation, computer algebra, quantum computing, number theory
I am affiliated with CALCM (Computer Architecture Lab), CBI (Center for Bioinformatics), CenSCIR (Center for Sensed Critical Infrastructure Research), CyLab, ITRI (Industrial Technology Research Institute Lab)
My research is divided into two larger longterm efforts that I am leading called SPIRAL and SMART.
SPIRAL is a collection of interdisciplinary projects with the goal to develop new methodologies for automatic software (and hardware) generation and optimization for specific numerical problem domains (signal processing, scientific computing). In other words, the goal is to "teach"computers to write fast libraries.
In SMART we are developing a novel approach to the foundation of signal processing, termed Algebraic Signal Processing Theory. We just finished the first papers that start developing this theory.
PhD. Students

Other students I work with: Peter Milder (advisor: James Hoe)
Current Projects and Sponsors

| FFT Generation for the Cell Processor |
Mercury |
| FFT IP Core Generation for FPGAs |
National Instruments |
| Program Generation for Parallel Platforms |
NSF, CPA |
| Algebraic Signal Processing Theory: Towards Multiresolution Analysis |
NSF, TF |
| Library Generation for Intel's MKL using Spiral |
Intel |
| Intelligent SW/HW Compilers for Signal Processing Applications |
DARPA |
| Intelligent HW/SW Compilers for DSP Applications |
NSF, medium ITR |
Collaborators

Franz Franchetti (ECE, CMU), James C. Hoe (ECE, CMU), Jeremy Johnson (CS, Drexel Univ.), Jelena Kovacevic (BME, CMU), José M. F. Moura (ECE, CMU), Rohit Negi (ECE, CMU), David Padua (CS, UIUC), Martin Rötteler (Mathematics, Univ. of Waterloo), Christoph Ueberhuber (Mathematics, Univ. of Technology, Vienna, Austria), Yevgen Voronenko (ECE, CMU)
Latest Teaching

Spring 2008: How To Write Fast Code (ECE: 18-645)
The Pub

Check out the pub, a tool for maintaining publications and presenting them on the web.
Contact Info

Markus Püschel
Dept. of Electrical and Computer Engineering Porter Hall B16
Carnegie Mellon University
5000 Forbes Ave
Pittsburgh, PA 15213
phone: +1 412 268 3804
fax: +1 412 268 3890
email: pueschel at ece.cmu.edu
web: http://www.ece.cmu.edu/~pueschel
|
| July 2008: Our work on computer generation of high performance libraries (part of Spiral) is selected as NSF discovery |
|
| May 2008: My student Yevgen Voronenko wins the ECE/CMU best thesis award. His thesis automates all major aspects of library development for linear transforms. |
|
|
| We have developed a new approach to the foundation of signal processing, called Algebraic Theory of Signal Processing.
Fall 2006: The third consecutive NSF grant was just awarded to this effort.
|
|
| Have a look at the February 2005 special issue on "Program Generation, Optimization, and Adaptation" of the IEEE Proceedings. The special issue also contains an extensive SPIRAL overview paper.
|
|
|