1. Jan 25th, 2019Demonstrate trace generators and discuss the issues and improvement opportunities of MITHRIL.

  1. Jan 18th, 2019Study the MITHRIL paper and plan to build a trace generator to evaluate the algorithms and others.

  1. Jun 11th, 2018Safal: Keeping a pointer to last NR block on stack S isn’t very efficient...currently trying to do the second idea of making Q behave like ARC.

  1. Jun 6th, 2018 Discussed the metrics used, it was suggested that perhaps the Q2 hit ratio alone is not sufficient to decide when to change Q size, it was suggested to compare the Q2 hit ratio with the LIRS hit ratio, perhaps factoring in the cache allocation percentage to S and Q.

  1. May 29th, 2018 Discussion about the ARC, LRU, LIRS algorithms.

  1. May 25th, 2018 In the LIRS algorithm, there is a parameter, which is size of the stack Q. By default it is set as 1% of the cache size. However, for the highest hit ratio the parameter may need to be set differently with different workloads or even dynamically for one workload. A major effort during the summer is to investigate impact of the parameter and strategies to adjust it, or equivalently to come up with an improved LIRS algorithm.

About the REU Program

   In response to high demand of undergraduates at UTA's CSE department on Computer System research, the faculty and graduate students actively working on system research projects mainly supported by National Science Foundation (NSF) organize the program with missions of:

  1. Providing ample opportunities of translating textbook knowledge into skills of solving real-world issues chanllenging today's system design and engineering.
  2. Inspiring the students to achieve a higher career goal towards knowledge discovering and technology impact.
  3. Creating a diverse and vibrant enviroment for highly productive learning and studying.

Undergraduate Projects

Undergraduate Students

Graduate Students

Faculty