Dr. Xun (Steve) Jian, assistant professor in the Department of Computer Science, has been busy at the IEEE/ACM International Symposium on Microarchitecture in Chicago this month. 

Colloquially referred to as MICRO, the symposium is celebrating its 55th year and is among the oldest, most prestigious computer architecture conferences. With an acceptance rate of 22% this year, MICRO papers report on  advances in microarchitecture submitted by researchers from all over the world. This year, Jian and his co-authors presented three of these papers. 

In addition to colleagues from the Virginia Tech Department of Computer Science, AMD Research, and Microsoft Research, Jian’s collaborators on the papers include current graduate and undergraduate students and recent alumni from the High-performance, Energy-efficient, Assured Processing (HEAP) Lab, a research lab led by Dr. Jian and dedicated to advancing computer architecture. “All of the students worked incredibly hard to make the MICRO papers happen. Many of them started working on these papers three years ago,” says Jian.

Presenters from the HEAP Lab (left to right): Yuqing Liu, Gagandeep Panwar, Xun (Steve) Jian, Muhammad Laghari, and Xin Wang

The three papers resulting from the HEAP Lab research address different approaches to mitigating the impacts of enhanced security on performance and efficiency.  Self-Reinforcing Memoization for Cryptography Calculations in Secure Memory Systems and Eager Memory Cryptography in Caches propose methods for overcoming latency, memory demands, and other inefficiencies involved when working with large and/or irregular workloads of encrypted data in the Cloud. Translation-optimized Memory Compression for Capacity details a compression process for large and/or irregular workloads that improves both effective capacity and performance. 

Jian notes that these papers would not be possible without the generous support his research has received from the National Science Foundation (NSF) over the years. Research that resulted in the Self-Reinforcing Memoization for Cryptography Calculations in Secure Memory Systems paper was funded by the NSF through a CISE Research Initiation Initiative (CRII) award in 2019. In 2020, Jian received the prestigious Faculty Early Career Development (CAREER) program award from the NSF for his research articulated in the Translation-optimized Memory Compression for Capacity paper.

Written by Tayler Butters, a student intern in the Department of Computer Science.