I am a fourth-year Ph.D. student at the University of Texas at Austin, advised by Vijay Janapa Reddi. I am interested in leveraging the crowd to build more responsive and energy-efficient mobile computing systems, specifically for those based on Web technologies such as HTML, CSS and JavaScript. Stay tuned!
Previously I have interned at IBM Research, Intel, Dell and Coherent Logix, an Austin-based many-core DSP processor manufacturer.
Conference Papers
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Probabilistic Modeling for Crowdsourcing Partially-Subjective Ratings
An Thanh Nguyen, Matthew Halpern, Byron C. Wallace, and Matthew Lease.
AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2016. -
Mobile CPU's Rise to Power: Quantifying the Impact of Generational Mobile CPU
Design Trends on Performance, Energy, and User Satisfaction
Matthew Halpern, Yuhao Zhu, Vijay Janapa Reddi
Symposium on High Performance Computer Architecture (HPCA), 2016
Crowdsourcing user satisfaction data can be found here -
Microarchitectural Implications of Event-driven Server-side Web Applications
Yuhao Zhu, Daniel Richins, Matthew Halpern Vijay Janapa Reddi
IEEE International Symposium on Microarchitecture (MICRO), 2015 -
Adaptive Guardband Scheduling to Improve System-level Efficiency of the POWER7+
Yazhou Zu, Charles Leufergy, Jingwen Leng, Matthew Halpern, Michael Floyd, Vijay Janapa Reddi
IEEE International Symposium on Microarchitecture (MICRO), 2015 -
Mosaic: Cross-Platform User-Interaction Record and Replay for the Fragmented Android Ecosystem
Matthew Halpern, Yuhao Zhu, Ramesh Peri, Vijay Janapa Reddi
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2015 -
Event-Based Scheduling for Energy-Efficient QoS (eQoS) in Mobile Web Applications
Yuhao Zhu, Matthew Halpern, Vijay Janapa Reddi
Symposium on High Performance Computer Architecture (HPCA), 2015
Journal Articles
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The Role of the CPU in Energy-Efficient Mobile Web Browsing
Yuhao Zhu, Matthew Halpern, Vijay Janapa Reddi
IEEE MICRO Mobile Special Issue, 2015
Workshop Papers
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The Case for Node Multi-Versioning in Cognitive Cloud Services:
Achieving Responsiveness and Accuracy at Datacenter Scale
Matthew Halpern, Todd Mummert, Mirek Novak, Evelyn Duesterwald, Vijay Janapa Reddi