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

"At-Scale Sparse Deep Neural Network Inference with Efficient GPU Implementation", Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-mei Hwu, 2020 IEEE High Performance Extreme Computing Conference, HPEC 2020. (Graph Challenge Champion) [more...]

Paper Accepted: (August 26, 2020)

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