Bilge Acun


Curriculum Vitae: [pdf]
Google Scholar
Github Twitter

About me

Bilge Acun is a Research Scientist at Facebook AI Research (FAIR), SysML team. She is working on making large scale machine learning systems more efficient through algorithmic and system optimizations.


She received her Ph.D. degree in 2017 at the Department of Computer Science at Universtiy of Illinois at Urbana-Champaign, advised by Professor Laxmikant V. Kale. Before joining Facebook, she worked at the IBM Thomas J. Watson Research Center as a Research Staff Member.


Her research interests include Systems for Machine Learning, Parallel and Distributed Computing, Energy Efficient Computing, High Performance Computing (HPC), Smart Runtime Systems.

News

  • Apr 14 '21: Giving a talk at NVIDIA GTC 2021 on "Large-Scale Deep Learning Recommendation Models at Facebook"
  • Apr 5 '21: Received Outstanding Paper Award at MLSys with TT-Rec paper!
  • Apr 5 '21: Giving a talk at MLSys 2021 on our accepted paper "TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models".
  • Mar 3 '21: Giving a talk at HPCA 2021 industry session titled "Understanding Training Efficiency of Deep Learning Recommendation Models at Scale".
  • Aug 23 '20: Giving a talk at MLBench Workshop at ISPASS 2020 titled "Characteristics of Facebook's Deep Learning Recommendation Training Workloads".
  • May 29 '20: Giving a plenary talk at PeRSonAl at ISCA 2020 titled "Ins and Outs of Using GPUs for Training Recommendation Models".
  • Nov 5 '19: Panelist at Women in Tech Recruitment Session for Facebook at UIUC.
  • Oct 23 '19: Presenting "Fine-Grained Energy Efficiency Using Per-Core DVFS with an Adaptive Runtime System" paper in IGSC'19, Alexandria, VA
  • Feb 20 '19: Presenting "Power Aware Heterogeneous Node Assembly" paper at HPCA'19, Washington D.C.

Honors and Awards

Travel Grants

Publications and Patents

Publications: * 1 book chapter * 2 journal papers * 9 conference papers * 3 workshop papers

Book Chapter

  1. NAMD: Scalable Molecular Dynamics Based on the Charm++ Parallel Runtime System

    B. Acun, R. Buch, , L.V. Kalé, J. C. Phillips

    Exascale Scientific Applications: Scalability and Performance Portability, CRC Press
    [paper] [bib]

Journal Papers

  1. Scalable molecular dynamics with NAMD on the Summit system

    B. Acun, D.J. Hardy, L.V. Kalé, K. Li, J.C. Phillips, J.E. Stone

    IBM Journal of Research and Development,
    [paper] [bib]

  2. Power, Reliability, Performance: One System to Rule Them All

    B. Acun, A. Langer, H. Menon, O. Sarood, E. Totoni, and L. V. Kalé.

    IEEE Computer, Energy Efficient Computing Special Issue,
    [paper] [bib]

Conference Papers

  1. TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models

    C. Yin, B. Acun, X. Liu, C. J. Wu

    Conference on Machine Learning and Systems (MLSys) [Outstanding Paper Award].
    [paper] [bib]

  2. Understanding Training Efficiency of Deep Learning Recommendation Models at Scale

    B. Acun, M. Murphy, X. Wang, J. Nie, C. J. Wu, K. Hazelwood

    IEEE International Symposium on High-Performance Computer Architecture (HPCA)
    [paper] [bib]

  3. Power-Aware Heterogeneous Node Assembly

    B. Acun, A Buyuktosunoglu, E. K. Lee, Y. Park

    IEEE International Symposium on High-Performance Computer Architecture (HPCA)
    [paper] [bib]

  4. Support for Power Efficient Proactive Cooling Mechanisms

    B. Acun, E. K. Lee, Y. Park, L. V. Kalé

    International Conference on High Performance Computing (HiPC)
    [paper] [bib]

  5. Variation Among Processors Under Turbo Boost in HPC Systems

    B. Acun , P. Miller, L. V. Kalé

    International Conference on Supercomputing (ICS).
    [paper] [bib]

  6. Towards Realizing the Potential of Malleable Jobs

    A. Gupta, B. Acun , O. Sarood, L. V. Kalé

    International Conference on High Performance Computing (HiPC)
    [paper] [bib]

  7. Parallel Programming with Migratable Objects: Charm++ in Practice

    B. Acun, A. Gupta, N. Jain, A. Langer, H. Menon, E. Mikida, X. Ni, M. Robson, Y. Sun, E. Totoni, L. Wesolowski, L. V. Kalé.

    Supercomputing (SC)
    [paper] [bib]

  8. Thermal-Aware Automated Load Balancing for HPC Applications.

    H. Menon, B. Acun , SG De Gonzalo, O. Sarood, L. V. Kalé

    IEEE International Conference on Cluster Computing (CLUSTER)
    [paper] [bib]

  9. Topic Tracking Using Chronological Term Ranking

    B. Acun, A. Başpınar, E. Oğuz, M.İ. Saraç, F. Can

    International Symposium on Computer and Information Sciences (ISCIS)
    [paper] [bib]

Workshop Papers

  1. Neural Network-Based Task Scheduling with Preemptive Fan Control

    B. Acun, E. K. Lee, Y. Park, L. V. Kalé

    International Workshop on Energy Efficient Supercomputing (E2SC, SC)
    [paper] [bib]

  2. Mitigating Processor Variation with Dynamic Load Balancing

    B. Acun, L. V. Kalé

    IEEE International Workshop on Variability in Parallel and Distributed Systems (VarSys, IPDPS).
    [paper] [bib]

  3. TraceR: A Parallel Trace Replay Tool for Studying Interconnection Networks

    B. Acun, N. Jain, A. Bhatele, L. V. Kalé

    Workshop on Parallel and Distributed Agent-Based Simulations (PADABS, EUROPAR).
    [paper] [bib]

Patents

  1. Learning-based Thermal Estimation in Multicore Architectures

    E. K. Lee, B. Acun, Y. Park, P. W. Coteus

    US Patent Application No: 16/116,289.

  2. Variation-Aware Intra-Node Power Shifting Among Different Hardware Components

    E. K. Lee, B. Acun, Y. Park, A. Morari, A. Buyuktosunoglu

    US Patent Application No: 16/127,958.

  3. Multi-Component Power-Aware Job Scheduling Based on Node and Application Characteristics

    B. Acun, E. K. Lee, Y. Park

    US Patent Application No: 15/827,208.

  4. Power Efficiency Aware Node Component Assembly

    B. Acun, E. K. Lee, Y. Park

    US Patent Application No: 15/658,494.

  5. Systems and Methods for Computer Input

    B. Acun, E. Candan

    US Patent Application No: 15/252,163.

Services and Activities

Organizing Activities

  • PC Member at Workshop on Benchmarking Machine Learning Workloads on Emerging Hardware (MLSys'21)

  • Technical PC Member at the 37th IEEE International Conference on Computer Design (ICCD'19).

  • Workshop Organizer for “Ethics in Computing Workshop” at Heidelberg Forum (HLF'18).

  • PC Member at the Women in High Performance Computing Workshop (WHPC at SC'18).

  • Co-organizer, Women Empowered in STEM Conference (weSTEM'14).

Peer Review Activities

  • External Reviewer for IEEE Transactions on Cloud Computing (TCC).

  • External Reviewer for Latin America High Performance Computing Conference (CARLA) (CARLA'19).

Other Activities

  • Technical Session Chair, "Data Centers" & "Energy Efficiency and Measurements" Sessions at IGSC'19.

  • Technical Session Chair, “Interfaces Session”, at 15th Annual Charm++ Workshop and Applications, Charm++'17.

  • Technical Session Chair, “Applications Session”, at 14th Annual Charm++ Workshop and Applications, Charm++'16.

  • Charm++ Hands-on Tutorial, at Argonne Training Program on Extreme-Scale Computing, ATPESC'15.

  • Graduate Student Mentor, Department of Computer Science at UIUC. 2013-2015.