Interested in joining our group? We are currently recruiting motivated graduate students!

Overview

The Systems Optimization and Computer Architecture Lab (SoCal) focuses on a broad range of computer systems-related research, spanning data centers to microarchitecture.

With the emergence of cloud-scale computing and the impeding end of Moore's law, computer systems innovation faces unprecedented obstacles across the entire hardware-software stack. With the slowdown in technology scaling, the onus of future power and performance improvements falls solely on microarchitecture and software innovations to make more efficient use of the hardware. Similarly, at the data center scale, novel innovations are required to make efficient use of commodity hardware in the face of data-intensive workloads, heterogenous hardware, and energy-constrained infrastructures.

Below is a list of current research projects in the SoCal lab:


Projects

Energy Efficient Data Centers

  • Coordinating network and server energy savings [IPDPS'18]
  • QoS-aware dynamic power management [ISLPED'16, HPCA'19]
  • Reliability-aware scheduling [DAC'16]
  • Energy proportional computing [MICRO'12, HPCA'14, IISWC'15, ISCA'16]

GPU Microarchitecture

  • Efficient register file design [ASPLOS'19]
  • Data-dependent parallelism support [MICRO'17]
  • Approximate computing support [HPCA'16, ISLPED'18]
  • Efficient power gating of execution units [MICRO'13, ICS'16]

Systems Support for Heterogeneous Accelerators

  • Accelerator management runtimes
  • Multi-GPU programming support
  • GPU accelerated NFV


Faculty

Daniel Wong
Assistant Professor


Members

AmirAli Abdolrashidi
PhD
Computer Science
2015-

Internship: Google

Devashree Tripathy*
PhD
Computer Science
2015-

Internship: Samsung Austin R&D Center

Marcus Chow
PhD
Computer Science
2016-

Associate Instructor: CS161L
Internship: AMD Research

Kiran Ranganath
PhD
Electrical Engineering
2016-

Internship: Pacific Northwest National Lab

Ali Jahanshahi
PhD
Computer Science
2017-

* Co-advised with Laxmi Bhuyan

Alumni

Ruiwen Li
MS
Computer Engineering
2016
Amazon

Yukun Chen
MS
Electrical Engineering
2017

Shahriyar Valielahi Roshan
MS
Computer Science
2018



Our work is generously supported by the following sponsors: