am was a PhD student working with Professor Todd Mowry
and Dimitrios Skarlatos since 2017 Fall.
My research area is computer architecture and memory architecture, especially Hardware Transaction Memory (HTM), Non-Volatile Memory, Memory and Cache
Compression, Cache optimization for serverless & micro-services, and
My research interest also covers concurrent data structure design and parallel computation.
I was working closely with Processor Andy Pavlo during my Masters education at CMU, and my research project was efficient indexing for in-memory databases.
The goal of my research is to accelerate data access and manipulation on modern general purpose multicore architecture. I believe in a hardware-software co-design methodology. The hardware provides specialized acceleration capabilities for common cases without sacrificing general purpose processing performance, while the software adaptively takes advantage of hardware, and falls back to alternative, slower paths whenever hardware acceleration is not achievable.
(2021.08 - 2022.12) I am working on the next research project.
(2020.12 - 2021.08) I was working with Professor Todd Mowry, Dimitrios Skarlatos and Professor Gennady Pekhimenko (U of T) on memory compression on multi-dimentional address space.
(2019.05 - 2020.11) I was working with Professor Todd Mowry on NVM full system persistence.
(2017.09 - 2019.04) I was working with Professor Todd Mowry on hardware transactional memory.
(2016.04 - 2017.03) As a Master student at CMU Master of Science in Computer Science program, I contributed to Peloton, an open-source self-driving in-memory database system optimized for HTAP workloads. My main contribution is the lock-free B+Tree index, the BwTree. I implemented the BwTree based on a Microsoft Reaearch paper, and measured its performance under YCSB benchmark.
Wang, Ziqi, Michael A. Kozuch, Todd C. Mowry, Vivek Seshadri, Gennady Pekhimenko, Chulhwan Choo, Dimitrios Skarlatos. “NVOverlay: Enabling Efficient and Scalable High-Frequency Snapshotting to NVM. “ Proceedings of the 48th Intl. Symposium on Computer Architecture (ISCA), Virtual, June 2021.
Wang, Ziqi, Vivek Seshadri, Todd C. Mowry, and Michael Kozuch. “Multiversioned Page Overlays: Enabling Faster Serializable Hardware Transactional Memory.” In 2019 28th International Conference on Parallel Architectures and Compilation Techniques (PACT). IEEE, 2019.
Zimmeck, Sebastian, Peter Story, Daniel Smullen, Abhilasha Ravichander, Ziqi Wang, Joel Reidenberg, N. Cameron Russell, and Norman Sadeh. “MAPS: Scaling privacy compliance analysis to a million apps.” Proceedings on Privacy Enhancing Technologies 2019, no. 3 (2019): 66-86.
Story, Peter, Sebastian Zimmeck, Abhilasha Ravichander, Daniel Smullen, Ziqi Wang, Joel Reidenberg, N. Cameron Russell, and Norman Sadeh. “Natural language processing for mobile app privacy compliance.” In AAAI Spring Symposium on Privacy Enhancing AI and Language Technologies (PAL 2019). 2019.
Wang, Ziqi, Andrew Pavlo, Hyeontaek Lim, Viktor Leis, Huanchen Zhang, Michael Kaminsky, and David G. Andersen. “Building a bw-tree takes more than just buzz words.” In Proceedings of the 2018 International Conference on Management of Data, pp. 473-488. ACM, 2018.
Pavlo, Andrew, Gustavo Angulo, Joy Arulraj, Haibin Lin, Jiexi Lin, Lin Ma, Prashanth Menon, Todd Mowry, Matthew Perron, Ian Quah, Siddharth Santurkar, Anthony Tomasic, Skye Toor, Dana Van Aken, Ziqi Wang, Yingjun Wu, Ran Xian, and Tieying Zhang. “Self-Driving Database Management Systems.” In CIDR, vol. 4, p. 1. 2017. (Authors are sorted by last name)
Zimmeck, Sebastian, Ziqi Wang, Lieyong Zou, Roger Iyengar, Bin Liu, Florian Schaub, Shomir Wilson, Norman M. Sadeh, Steven M. Bellovin, and Joel R. Reidenberg. “Automated Analysis of Privacy Requirements for Mobile Apps.” In NDSS. 2017.
Zimmeck, Sebastian, Ziqi Wang, Lieyong Zou, Roger Iyengar, Bin Liu, Florian Schaub, Shomir Wilson, Norman Sadeh, Steven Bellovin, and Joel Reidenberg. “Automated analysis of privacy requirements for mobile apps.” In 2016 AAAI Fall Symposium Series. 2016.
OS Kernel I am interested in implementing my own operating system kernel from the scratch, using a mixture of C and assembly. I have made several attempts since undergraduate. In my last try, I successfully implemented the bootloader, the keyboard driver, the character-based video driver, and some common facilities. I was stuck, however, on the file system part. I could not figure out the best way of buffer management, and failed to build a working file system on top of that. This unfinished project is currently hosted on my Github wangziqi2016 .
Compiler Generator I implemented a compiler generator in Python, which supports LR(1) and LALR grammar. The compiler generator also allows user to define syntax directed transformation rule, such that the compiler could directly output an Abstract Syntax Tree (AST) instead of parse tree. C-specific typedef is also supported using a global symbol table, such that statements like “A * a” will be parsed as a pointer definition if symbol “A” has been defined as a type, or as a multiplication expression statement otherwise. The source code is available on my Github wangziqi2013 .