Konrad Malkowski PhD Postdoctoral Scholar Pennsylvania State University

Research Projects

Data Mapping for Sparse Cholesky Matrix Factorization

Co-Managing Quality-Performance-Power Tradeoffs

Research Activities

Phase-Aware Hardware Adaptivity for Scientific Applications, Konrad Malkowski and Padma Raghavan, Esmond G. Ng, Mini-symposium on Co-Managing Performance and Power For Scientific Workloads, SIAM Parallel Processing 2008, Atlanta, GA, March 12-14 2008.
Ring Data Location Prediction Scheme for Non-Uniform Cache Architectures, Sayaka Akioka, Fei Hui, Konrad Malkowski, Padma Raghavan, Mahmut Kandemir, Mary Jane Irwin, Proceedings of the 26th International Conference on Computer Design (ICCD) 2008.
Managing Power, Performance and Reliability Trade-offs, P. Raghavan, M. Kandemir, M. J. Irwin and K. Malkowski, Proceedings of the 22nd IEEE International Parallel and Distributed Symposium, IPDPS'08, NSF Next Generation Software Workshop.
Towards Energy Efficient Scaling of Scientific Codes, Y. Ding, K. Malkowski, P. Raghavan and M. Kandemir, Proceedings of the 22nd IEEE International Parallel and Distributed Symposium, IPDPS'08, High-Performance, Power-Aware Computing Workshop.
Towards Energy Efficient Scaling of Scientific Codes, Y. Ding, K. Malkowski, P. Raghavan and M. Kandemir, Department of Computer Science and Engineering, Technical Report, CSE 07-012, December 14, 2007.
Evaluating the role of scratchpad memories in multi-cores for sparse matrix computations, A. Yanamandra, B. Cover, P. Raghavan, M.J. Irwin, M. Kandemir and K. Malkowski, Poster Session, IEEE/ACM Supercomputing (SC07), 2007. Reno, NV, November 8-16 2007.
Student Volunteer at Super Computing 2007, Reno, NV, November 7th thru 16th, 2007.
Challenges in Parallelizing Irregular Computations, K. Malkowski and P. Raghavan, CASCON, 2007, Richmond Hill, ON, Canada, October 22 – 25, 2007.
Reducing energy consumption of parallel sparse matrix applications through integrated link/CPU voltage scaling, S. W. Son, K. Malkowski, G. Chen, M. T. Kandemir, P. Raghavan, The Journal of Supercomputing, doi: 10.1007/s11227-007-0113-9.
Memory Optimizations For Fast Power-Aware Sparse Computations, K. Malkowski, P. Raghavan and M.J. Irwin, to appear, Proceedings of the 21st IEEE International Parallel and Distributed Symposium, IPDPS'07, Next Generation Software Workshop.
Phase-Aware Hardware Adaptivity for Energy-Aware High Performance Computing, K. Malkowski, P. Raghavan, M. Kandemir and M.J. Irwin, ISLPED 2007.
Phase-Aware Hardware Adaptivity for Energy-Aware High Performance Computing, Konrad Malkowski, Padma Raghavan, and Mary Jane Irwin, Poster Session, 2007 SIAM Conference on Computational Science and Engineering, Costa Mesa, CA, February 19-23 2007.
Load Miss Prediction - Exploiting Power Performance Trade-offs, K. Malkowski, G. Link, P. Raghavan and M. J. Irwin, Proceedings of the 21st IEEE International Parallel and Distributed Symposium, IPDPS'07, High-Performance, Power-Aware Computing Workshop.
Architecture-Aware Scientific Computing: Improving Performance and Power Characteristics, Konrad Malkowski, Padma Raghavan, Mary Jane Irwin. Presenter: Konrad Malkowski. Minisimposium talk presented at SIAM Conference on Parallel Processing for Scientific Computing, San Francisco, February 21-25, 2006.
Characterizing the Performance and Energy Attributes of Scientific Simulations,, Sayaka Akioka, Konrad Malkowski, Padma Raghavan, Mary Jane Irwin, Lois Curfman McInnes, Boyana Norris, ICCS2006
On Improving Performance and Energy Profiles of Sparse Scientific Applications, Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin, NSF NGS 2006.
Conjugate Gradient Sparse Iterative Solvers: Performance-Power Characteristics, Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin, HPPAC 2006.
Integrated Link/CPU Voltage Scaling for Reducing Energy Consumption of Parallel Sparse Matrix Applications, Seung Woo Son, Konrad Malkowski, Gullin Chen, Mahmut Taylan Kandemir, Padma Raghavan, HPPAC 2006.
Toward a power efficient computer architecture for Barnes-Hut N-body simulations, Konrad Malkowski, Padma Raghavan, Mary Jane Irwin, Poster, Supercomputing 2006.
Co-Managing Performance and Power for High-Performance Scientific Computing , Sayaka Akioka, Shannon Kennedy, Konrad Malkowski, Mary Jane Irwin, Padma Raghavan, Lois Curfman McInnes, Boyana Norris, Poster presented at Super Computing 2005, Seattle, WA. Speakers: Sayaka Akioka, Ingyu Lee, Konrad Malkowski.
Student Volounteer at Supercomputing 2005 conference in Seattle, WA, November 10th thru 19th, 2005.
Multi-Pass Mapping Schemes For Parallel Sparse Matrix Computations, K. Malkowski and P. Raghavan, procedings of ICCS 2005: 5th International Conference on Computational Science, Lecture Notes in Computer Science, Editors V. S. Sunderam, G. D. van Albada, P. M. A. Sloot, and J. J. Dongarra, Computational Science- ICCS 2005, Number 3514, Springer Verlag, pp. 245--255, May 2005. Presenter: K. Malkowski
Student Volounteer at Supercomputing 2004 conference in Pittsburgh, PA, November 9th thru 16th, 2004.
Reducing Power with Performance Constraints for Parallel Sparse Applications , G. Chen, K. Malkowski, M. Kandemir, and P. Raghavan, Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International 04-08 April 2005 Page(s):231a - 231a
Internship at Lawerence Berkeley National Laboratory, Berkeley, CA, June 1st thru August 13th, 2004.
Data Mapping Techniques for Parallel Sparse Factorization, presenter Konrad Malkowski, co-author Padma Raghavan, minisimposium talk presented at SIAM Conference on Parallel Processing for Scientific Computing, San Francisco, February 25-27, 2004.
NSF Student Travel Grant Award for SIAM Conference on Parallel Processing for Scientific Computing, San Francisco, February 25-27, 2004.
Student Research Poster presented at Rochester Institute of Sciences conference in 2002.
Student Research Poster presented at CCSCNE 2001 Computer conference.

Journals and Links of interest