Team > Wen-mei W. Hwu
Wen-mei W. Hwu
University of Illinois at Urbana-Champaign
Phone: (217)244-8270
Web pages:

  • Ph.D., Computer Science, University of California, Berkeley, 1987
  • B.S., National Taiwan University, 1979

Academic Positions:
  • Professor, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 1996-present
  • Franklin W. Woeltge Professor, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2000-2003
  • Sanders III Advanced Micro Devices, Inc., Endowed Chair, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2003-present
  • Chief Scientist, Parallel Computing Institute, University of Illinois at Urbana-Champaign, 2009-present
Research Interests:
  • His research interests are in the areas of architecture,implementation,software for high-performance computer systems, and parallel processing. He is a Principal Investigator(PI) for the petascale Blue Waters system, is co-director of the Intel and Microsoft funded Universal Parallel Computing Research Center (UPCRC), and PI for the world's first NVIDIA CUDA Center of Excellence. At the Illinois Coordinated Science Lab,he is the director of the OpenIMPACT project, which has delivered new compiler and computer architecture technologies to the computer industry since 1987. He also serves as the Soft Systems Theme leader of the MARCO/DARPA Gigascale Silicon Research Center (GSRC) and on the Executive Committees of both the GSRC and the MARCO/DARPA Center for Circuit and System Solutions (C2S2).

Selected Publications:
  • Adaptive Cache Management for Energy-efficient GPU Computing, Chen, Xuhao; Chang, Li-Wen; Rodrigues, Christopher I.; Lv, Jie; Wang, Zhiying; Hwu, Wen-mei, Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, December 2014.
  • Supporting High-Level, High-Performance Parallel Programming with Library-Driven Optimization, Rodrigues, Christopher I., University of Illinois Doctoral Disertation, May 2014.
  • Automatic execution of single-GPU computations across multiple GPUs, Cabezas, Javier; Vilanova, Lluis; Gelado, Isaac; Jablin, Tom; Navarro, Nacho; Hwu, Wen-mei, Proceedings of the 23rd international conference on Parallel architectures and compilation (PACT '14).
  • High Performance Histogramming on Massively Parallel Processors, Ross, Greg, University of Illinois Masters Disertation, August 2014.
  • Scalable Parallel Tridiagonal Algorithms with Diagonal Pivoting and Their Optimization for Many-core Architectures, Chang, Li-Wen, University of Illinois Master Thesis, July 2014?
  • Adaptive Cache Bypass and Insertion for Many-core Accelerators, Chen, Xuhao; Wu, Shengzhao; Chang, Li-Wen; Huang, Wei-Sheng; Pearson, Carl; Hwu, Wen-mei, Proceedings of International Workshop on Manycore Embedded Systems, 2014.
  • Dynamic Loop Vectorization for Executing OpenCL Kernels on CPUs, El Hajj, Izzat, University of Illinois Masters Disertation, May 2014.
  • Runtime and Architecture Support for Efficient Data Exchange in Multi-Accelerator Applications, Cabezas, Javier; Gelado, Isaac; Stone, John E.; Navarro, Nacho; Kirk, David; Hwu, Wen-mei, IEEE Transactions on Parallel and Distributed Systems, Issue:99.
  • Triolet: A Programming System that Unifies Algorithmic Skeleton Interfaces for High-Performance Cluster Computing, Rodrigues, Christopher I.; Dakkak, Abdul; Jablin, Tom; Hwu, Wen-mei, Proceedings of the 2014 ACM SIGPLAN Conference on Principles and Practice of Parallel Programing, February 2014.
  • Multi-tier Dynamic Vectorization for Translating GPU Optimizations into CPU Performance, Kim, Hee-Seok; El Hajj, Izzat; Stratton, John A.; Hwu, Wen-mei,IMPACT Technical Report, IMPACT-14-01, University of Illinois at Urbana-Champaign, Center for Reliable and High-Performance Computing, February 5, 2014.
  • BLESS: Bloom filter-based error correction solution for high-throughput sequencing reads, Heo, Yun; Wu, Xiao-Long; Chen, Deming; Ma, Jian; Hwu, Wen-mei; Aarts, Baastian, Advance Access Publication.
  • Mapping Tridiagonal Solvers to Linear Recurrences, Chang, Li-Wen; Hwu, Wen-mei, IMPACT Technical Report, IMPACT-13-01, University of Illinois at Urbana-Champaign, Center for Reliable and High-Performance Computing, Sept. 8, 2013.
  • Throughput-Oriented Kernel Porting onto FPGAs, Papakonstantinou, Alexandros; Chen, Deming; Hwu, Wen-mei; Cong, Jason; Liang, Yun, Proceedings of the 50th Annual Design Automation Conference, May 2013.
  • Implementing a GPU Programming Model on a non-GPU Accelerator Architecture, Kofsky, Stephen M.; Johnson, Daniel R.; Stratton, John A.; Hwu, Wen-mei; Patel, sanjay J.; Lumetta, Steve S, Proceedings of the Workshop on Applications for Multi- and Many-cores, June 2010.