Jeremy Johnson

Professor Department of Computer Science Drexel University 100C University Crossings 3175 JFK Blvd Philadelphia, PA 19104 Phone: (215) 895-2893 Fax: (215) 895-0545 Email: jjohnson AT cs DOT drexel DOT edu

Links Research Schedule Teaching Vita Bobble Head

Jeremy Johnson is a Professor in the Departments of Computer Science and Electrical and Computer Engineering.  He just completed a ten year term as Department Head of the Computer Science Department.  He received a B.A. in Mathematics from the University of Wisconsin-Madison in 1985, a M.S. in Computer Science from the University of Delaware in 1988, and a Ph.D. in Computer Science from The Ohio State University in 1991.

Dr. Johnson's research interests include algebraic algorithms, computer algebra systems, problem solving environments, programming languages and compilers, high performance computing, hardware generation, and automated performance tuning.  He is currently working on SPIRAL, a joint research project with Carnegie Mellon University, University of Illinois at Urbana-Champaign, ETH Zurich, to develop techniques to automatically implement and optimize signal processing algorithms. He Director of the Applied Symbolic Computing Lab (ASYM) with projects in signal processing, communications, scientific computing, computer algebra and power systems funded by DARPA,NSF, DOE, and intel. He currently serves as chair of ACM SIGSAM, the special interest group in symbolic and algebraic manipulation, and the Franklin Institute Computer and Cognitive Science cluster in the Committee on Science and the Arts.

Teaching

Fall

• CS 303 Algorithmic Number Theory and Cryptography - sec. 1 (MW 1:30-2:50 Room 1053 in 3675 Market St) - See BBLearn for syllabus and course materials.

Office Hours

TBD (in Room 3675 Market St Room 1175). Additional hours, including online, can be arranged by appointment.

I can be reached via email as well: johnsojr AT drexel DOT edu

Senior Design Projects

• V2HDL: Visual VHDL
• Mobile Collaboration Tool for Technical Communication

Previous Courses

Students

PhD

1. Gavin Harriso (co-advisor Dave Saunders), High-Performance Exact Linear Algebra.
2. Mark Boady (co-advisor Pavel Grinfeld), Symbolic Tensor Analysis, 2016.
3. Lingchuan Meng, Automatic Library Generation and Performance Tuning for Polynomial Multiplication, 2015.
4. Petya Vachranukunkiet (co-advisor Prawat Nagvajara), Power Flow Computation Using Field Programmable Gate Arrays, 2007.
   • Senior Hardware Engineer, R&D Electronics Division, Checkpoint Systems.
5. Anthony Breitzman, Automatic Derivation and Implementation of Fast Convolution Algorithms, 2003.
6. Anatole Ruslanov (co-advisor Werner Krandick), Architecture Aware Taylor Shift by 1, 2006.
   • Assistant Professor, Department of Computer and Information Sciences, SUNY Fredonia, Fredonia, NY.
7. Pinit Kumhom (co-advisor Prawat Nagvajara), Design, Optimization, and Implementation of a Universal FFT Processor, 2001.
   • Assistant Professor, Faculty of Engineering, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand.

MS

1. Kevin Cunningham (co-advisor Prawat Nagvajara) - High-Performance Architectures for Accelerating Sparse LU Computation, 2011.
   • Software Engineer, Nomadio, Inc.
2. Michael Andrews (MS) - Performance Models
3. Doug Jones - Data Pump Architecture Simulator and Performance Model, 2010.
   • Developer, Squarespace.
4. Gavin Harrison (co-advisor Prawat Nagvajara) - Hardware for Sparse Matrix-Vector Multiplication, 2010.
5. Timothy Chagnon - Architectural Support for Direct Sparse LU Algorithms, 2010.
   • Software Development Engineer, amazon.com.
6. Anupuma Kurpad (co-advisor Prawat Nagvajara) - Comparative Performance Analysis of Phase Recovery Algorithm for Microstructure Reconstruction, 2009.
   • Systems Engineer, Motorola
7. Pranab Shanoy, Universal FFT Core Generator, 2007.
   • Software Applications Engineer, Qualcomm: QCT ASIC
8. Mihai Furis, Cache Miss Analysis of Walsh-Hadamard Transform Algorithms, 2003.
9. Xu Xu, A Recursive Implementation of the Dimesionless FFT, 2003.
10. Michael Balog (co-advisor Prawat Nagvajara), A Flexible Framework for Implementing FFT Processors, 2002.
11. Kang Chen, A Prototypical Self-Optimizing Package for Parallel Implementation of Fast Signal Transforms, 2002.
12. Hung-Jen Huang, Performance Analysis of an Adaptive Algorithm for the Walsh-Hadamard Transform, 2002.
13. Peter Becker, A High Speed VLSI Architecture for the Discrete Haar Wavelet Transform, 2001.
14. Rich Pedersen, A Simple Model for the Runtime Performance of Finite Fourier Transform Algorithms, 1995.

Undergraduate

1. Tim Chagnon
2. Aliaksei Sandryhaila
3. Yevgen Voronenko

Research

Research Labs and Projects

• Application Specific Computing Research Group
• Applied Symbolic Computation
• MOSAIC
• SPIRAL
• PowerGrid