The objective of IMPACT (Illinois Microarchitecture Project using Algorithms and Compiler Technology) is to provide critical research, architecture innovation, and algorithm and compiler prototypes for heterogeneous parallel architectures. We achieve portable performance and energy efficiency for emerging real-world applications by developing novel hardware, compiler, and algorithmic solutions.
 

 

Recent & Highlighted Items

Cheng Li and Abdul Dakkak will be presenting the "MLPerf-Bench: Benchmarking Deep Learning Systems" Tutorial at ISCA'19 (June 22, 2019)

Cheng Li and Abdul Dakkak will present MLModelScope again as part of the MLPerf Bench Tutorial at ISCA. This follows a successful packed room presentation of ASPLOS'19 in March.

The goal of the tutorial is to bring experts from the industry and academia together to shed light on the following topics to foster systematic development, reproducible evaluation, and performance analysis of deep learning artifacts. It seeks to address the following questions:
  1. What are the benchmarks that can effectively capture the scope of the ML/DL domain?
  2. Are the existing frameworks sufficient for this purpose?
  3. What are some of the industry-standard evaluation platforms or harnesses?
  4. What are the metrics for carrying out an effective comparative evaluation?

Paper Accepted:

"TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep Learning Inference in Function-as-a-Service", Abdul Dakkak, Cheng Li, Simon Garcia de Gonzalo, Jinjun Xiong, Wen-mei Hwu, IEEE International Conference on Cloud Computing, July 8-13, 2019, Milan, Italy. [more...]

Cheng Li and Abdul Dakkak Presented the "MLPerf-Bench: Benchmarking Deep Learning Systems" Tutorial at ASPLOS'19 (April 14, 2019)

IMG_20190414_141953073.jpgThe goal of the tutorial is to bring experts from the industry and academia together to shed light on the following topics to foster systematic development, reproducible evaluation, and performance analysis of deep learning artifacts. It seeks to address the following questions:

  • What are the benchmarks that can effectively capture the scope of the ML/DL domain?
  • Are the existing frameworks sufficient for this purpose?
  • What are some of the industry-standard evaluation platforms or harnesses?
  • What are the metrics for carrying out an effective comparative evaluation?

Carl and Simon present at ICPE'19 (April 10, 2019)

Simon Garcia de Gonzalo and Carl Pearson presented two papers at the International Conference on Performance Engineering in Mumbai, India! Simon presented "Collaborative Computing on Heterogeneous CPU-FPGA Architectures Using OpenCL" and Carl presented "Evaluating Characteristics of CUDA Communication Primitives on High-Bandwidth Interconnects."


Carl Pearson, Sitao Huang, Vikram Mailthody, and Mert Hidayetoglu win department awards and fellowships (March 26, 2019)

Four IMPACT students received Electrical Computer Engineering or Computer Science department fellowships or awards!

Carl Pearson: E. A. Reid Fellowship
Sitao Huang: Sundaram Seshu International Student Fellowship
Vikram Sharma:  Joan and Lalit Bahl Fellowship
Mert Hidayetoglu: P. D. Coleman Outstanding Research Award


Mert Hidayetoglu Won Second Place of the 2018 IEEE IPDPS Ph.D. Forum

There were 32 participants from  14 countries at the 2018 IEEE IPDPS Ph.D. Forum poster competition. Mert Hidayetoglus poster presentation, entitled "Large and Massively-Parallel Image Reconstruction Accelerated with the Multilevel Fast Multipole Algorithm", won second place by popular vote of the IPDPS attendees.
Congratulations, Mert!

Slides (PDF)
  

Carl Pearson Speaks at Blue Waters Symposium (June 6, 2018)

Carl Pearson gave a presentation at the Blue Waters Symposium titled "Bigger GPUs and Bigger Nodes". The Blue Waters Symposium brings together world leaders in petascale computational science and engineering.


Bigger GPUs and Bigger Nodes (PDF)
  

Mert Hidayetoglu and Carl Pearson Receive 2017-18 Dan Vivoli Endowed Fellowship

This fellowship is given to students interested in the use of a Graphics Processing Unit (GPU) in parallel computing, the use of a GPU in solving high performance computing problems, and the development of applications for the GPU.

Sitao Huang Receives 2017-18 Rambus Computer Engineering Fellowship

Dr. Michael Farmwald donated stock from Rambus, Inc. to the University of Illinois to be used to provide funds for the Department of Electrical and Computer Engineering. The Rambus Computer Engineering Fellowship has been established to recognize a graduate student in the Computer Engineering Area for outstanding research.

(View Archive of Highlighted Items)