Heterogeneous computer architectures with extensive use of hardware accelerators, such as FPGAs, GPUs, and neural processing units, have shown significant potential to bring in orders of magnitude improvement in compute efficiency for a broad range of applications. However, system designers exploring these non-traditional architectures generally lack effective design methodologies and tools to swiftly navigate through the intricate design trade-offs and achieve rapid design closure. While several heterogeneous computing platforms are becoming commercially available to a wide user base, they are very difficult to program, especially those with reconfigurable logics. To address these pressing challenges, our research group investigates new applications, programming models, and computer-aided design (CAD) algorithms and tools to enable productive design and implementation of highly efficient application- and domain-specific computer systems. Our cross-cutting research intersects CAD, compilers, and computer architecture at multiple scales, from circuit-level building blocks, to chip-level processor and co-processor cores, as well as system-level heterogeneous compute nodes.
Congratulations to Dr. Steve Dai for successfully defending his thesis titled “Coordinated Static and Dynamic Scheduling for High-Quality High-Level Synthesis”. He is joining NVIDIA Research as a Research Scientist.
We would like to welcome new Ph.D students, Chenhui Deng, Shaojie Xiang and Yichi Zhang, new postdoc Cunxi Yu to our research group.
Congratulations to Dr. Gai Liu for successfully defending his thesis titled “Cross-Stage Logic and Architectural Synthesis: with Applications to Specialized Circuits and Programmable Processors”. He is joining Synopsys as a Senior … Continue reading
Professor Zhang led the hands-on CATALYST Academy workshop on digital intelligence, which introduced 44 minority high school students to the creation of “smart” objects that perceive, process and learn from information so … Continue reading
Professor Zhang was named as one of the five winners of the 2018 Young Under-40 Innovators Award at the 55th Design Automation Conference (DAC) held in San Francisco, CA on June … Continue reading
Our paper entitled Fast and Accurate Estimation of Quality of Results in High-Level Synthesis with Machine Learning received Best Paper Award in the Short Paper Category at the 26th IEEE International … Continue reading
Professor Zhang received the Rising Professional Achievement Award from UCLA’s Henry Samueli School of Engineering and Applied Science. Presented to one alumnus annually, the Rising Professional Achievement Award honors the … Continue reading
Members of the Zhang Research Group presented two papers and a poster at the 26th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA’18) in Monterey, CA. Steve Dai presented the … Continue reading