Biography
Tuck received his BE (1999) from Vanderbilt University and his MS (2003) and PhD (2007) from University of Illinois at Urbana-Champaign. His overall research focus is in computer architecture and compiler design, with the main focus on chip multiprocessors (CMPs) and hardware and compiler support for aggressive speculative execution. Tuck has been awarded two IEEE Micro Top Picks Paper Awards, honoring the papers most likely to impact industry, for his work on speculative execution. Tuck is a member of Tau Beta Phi, the IEEE Computer Society, and the ACM.
Education
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Ph.D.
2007
Computer Science
University of Illinois at Urbana-Champaign -
Master's
2003
Electrical and Computer Engineering
University of Illinois at Urbana-Champaign -
Bachelor's
1999
Computer Engineering
Vanderbilt University, Nashville
Research Focus
Funded Research
- SemiSynBio-II: Engineering Write, Access, Read, and Protect (WARP) Drives for DNA-based Data Storage Systems
- CNS Core: Medium: Thermodynamically-Driven Design of High Capacity, Practical DNA-Based Data Storage Systems
- A Prototype DNA Hard Drive
- 2.5D Extendible Processor
- CNS: SHF: Small: Architectural Support for Efficient and Programmable Non-Volatile Main Memory
- EAGER: Exploring Extreme-Scale DNA-based Storage Systems
Highlighted Awards
Recent News
New Twist on DNA Data Storage Lets Users Preview Stored Files
Posted on June 10, 2021 | Filed Under: Research
Researchers in NC State ECE have turned a longstanding challenge in DNA data storage into a useful tool.
New Approach to DNA Data Storage Makes System More Dynamic, Scalable
Posted on June 12, 2020 | Filed Under: Research
A partnership of researchers from ECE and Chemical and Biomolecular Engineering are laying out a fundamentally new approach to DNA data storage.
Research Overcomes Key Obstacles to Scaling Up DNA Data Storage
Posted on June 3, 2019 | Filed Under: Research and Smart
New techniques for labeling and retrieving data files in DNA-based information storage systems address two of the key obstacles to widespread adoption of DNA data storage technologies.
This post was originally published in NC State News.
Recent Media Mentions
Nature’s Databank
February 13, 2020
Boffins create software that is 20 per cent faster
April 6, 2010
The paper with the catch title ‘MMT: Exploiting Fine-Grained Parallelism in Dynamic Memory Management,’ was penned by North Carolina State University (NCSU) researchers Devesh Tiwari, Sanghoon Lee, James Tuck, and Yan Solihin
Recent Publications
- BBB: Simplifying Persistent Programming using Battery-Backed Buffers (2021)
- DNA stability: a central design consideration for DNA data storage systems (2021)
- Promiscuous molecules for smarter file operations in DNA-based data storage (2021)
- Dynamic and scalable DNA-based information storage (2020)
- Methods of crash recovery for data stored in non-volatile main memory (2020)
- Persistent Data Retention Models (2020)
- The Case for Domain-Specialized Branch Predictors for Graph-Processing (2020)
- WET: write efficient loop tiling for non-volatile main memory (2020)
- Driving the Scalability of DNA-Based Information Storage Systems (2019)
- Dynamic DNA-based information storage (2019)