PACT 2017

International Conference on 
Parallel Architecture and Compilation Techniques
Portland, Oregon, USA
Sep 9-13, 2017

Dates & Deadlines:

  • March 14, 2017: Paper Deadline
  • May 3-6, 2017: Author Response Period
  • May 24, 2017: Author Notification
  • July 19, 2017: Camera Ready Final Papers
  • September 9-13, 2017: PACT 2017

PACT 2017 Information:

Call for Contributions




PACT 2017 Organization:

Previous PACTs:

Technical Sponsors

Address questions to: mi.sun.park [at]

The 26th International Conference on
Parallel Architectures and Compilation Techniques (PACT)
Portland, Oregon, USA
September 9-13, 2017

PACT 2017 Posters

The following PACT 2017 posters have been accepted for presentation at PACT 2017. They will be presented during the poster session planned for Monday September 11, 2017.

  • Putting the G back into GPU/CPU Systems Research
    Andreas Sembrant, Trevor E. Carlsson, Erik Hagersten, and David Black-Schaffer (Uppsala University)
  • Application-Driven Near-Data Processing for Similarity Search
    Vincent T. Lee, Amrita Mazumdar, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, and Mark Oskin (University of Washington)
  • Improving Datacenter Efficiency through Partitioning-Aware Scheduling
    Harshad Kasture (Oracle Labs), Xu Ji (QCR), Nosayba El-Sayed (MIT/QCRI), Nathan Beckmann (CMU), Xiaosong Ma (QCRI), and Daniel Sanchez (MIT)
  • The Liberation Day of Nondeterministic Programs
    Enrico Armenio Deiana, Vincent St-Amour, Peter Dinda, Nikos Hardavellas, and Simone Campanoni (Northwestern University)

  • Location-Aware Computation Mapping for Manycore Processors
    Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut Taylan Kandemir (Penn State, USA), and Myoungsoo Jung (Yonsei University, Korea)
  • BACM: Barrier-Aware Cache Management for Irregular Memory-Intensive GPGPU Workloads
    Yuxi Liu (Ghent University & Peking University), Xia Zhao (Ghent University), Zhibin Yu (Shenzhen Institute of Advanced Technology, CAS), Zhenlin Wang (Michigan Tech University), Xiaolin Wang (Peking University), Yingwei Luo (Peking University), and Lieven Eeckhout (Ghent University)
  • DaQueue: A Data-Aware Work-Queue Design for GPGPUs
    Yashuai Lv (Academy of Equipment), Libo Huang (National University of Defense Technology), and Li Shen (National University of Defense Technology)
  • Accelerate GPU Concurrent Kernel Execution by Mitigating Memory Pipeline Stalls
    Hongwen Dai (North Carolina State University), Zhen Lin (North Carolina State University), Chen Zhao (Xi'an Jiaotong University), Chao Li (North Carolina State University), Fei Wang (Xi'an Jiaotong University), Nanning Zheng (Xi'an Jiaotong University), and Huiyang Zhou (North Carolina State University)

  • Design Space Exploration for Performance Optimization of Deep Neural Networks on Shared Memory Accelerators Alleviating Register Pressure for Stencils on GPUs via Statement Reordering
    Swagath Venkataramani, Jungwook Choi , Vijayalakshmi Srinivasan, Kailash Gopalakrishnan, and Leland Chang (IBM Research)
  • Bridge the Gap Between Neural Networks and Neuromorphic Hardware
    Yu Ji, YouHui Zhang, WenGuang Chen (Tsinghua University), and Yuan Xie (UCSB)
  • Improving NUMA System Efficiency with A Utilization-based Co-scheduling
    Younghyun Cho, Camilo Andres Celis Guzman, and Bernhard Egger (Seoul National University)
  • Bridging the Gap between Deep Learning and Sparse Matrix Format Selection
    Yue Zhao (North Carolina State University), Jiajia Li (GaTech), Chunhua Liao (LLNL), and Xipeng Shen (North Carolina State University)

  • Cutting the Fat: Speeding Up RBM for Fast Deep Learning through Generalized Redundancy Elimination
    Lin Ning, Randall Pittman, and Xipeng Shen (North Carolina State University)
  • Exploiting Approximations for Energy/Quality Tradeoffs in Service-Based Applications
    Liu Liu (Rutgers University), Sibren Isaacman (Loyola University Maryland), Abhisek Bhattacharjee (Rutgers University), and Ulrich Kremer (Rutgers University)
  • Statement Reordering to Alleviate Register Pressure for Stencils on GPUs
    Prashant Singh Rawat, Aravind Sukumaran-Rajam, Atanas Rontev, (The Ohio State University), Fabrice Rastello (Inria), Louis-Noel Pouchet (Colorado State University), and P. Sadayappan (The Ohio State University)
  • NUMA-aware Power Management for Chip Multiprocessors
    Changmin Ahn, Camilo Andres Celis Guzman , and Bernhard Egger (Seoul National University)

  • BigBus:A Scalable Optical Interconnect
    Eldhose Peter, Janibul Bashir, and Smruti Ranjan Sarangi (IIT Delhi)
  • Elastic Reconfiguration for Heterogeneous NOCs with BiNoCHS
    Amirhossein Mirhosseini (University of Michigan), Mohammad Sadrosadati (Sharif University of Technology), Behnaz Soltani (Sharif University of Technology), Hamid Sarbazi-Azad (Sharif University of Technology), and Thomas Wenisch (University of Michigan)

ACM SRC Posters

The following ACM SRC posters have been accepted. They will be showing their posters at the reception on Monday September 11, 2017.

  • Architecturing a Novel Hybrid Cache with Low Energy
    Jiacong He, and Joseph Callenes-Sloan (The University of Texas at Dallas)
  • Introspective Computing
    Karl Taht (University of Utah)
  • A DSL for Performance Orchestration
    Thiago S. F. X. Teixeira, David Padua, and William Gropp (University of Illinois at Urbana-Champaign)
  • Cache Automation: Repurposing Caches for Automata Processing
    Arun Subramaniyan, Jingcheng Wang, Ezhil R.M. Balasubramanian, David Blaauw, Dennis Sylvester, and Reetuparna Das (University of Michigan-Ann Arbor)

  • Large Scale Data Clustering Using Memristive k-Median Computation
    Yomi Karthik Rupesh, and Mahdi Nazm Bojnordi (University of Utah)
  • In-memory Data Flow Processor
    Daichi Fujiki, Scott Mahlke, and Reetuparna Das (University of Michigan-Ann Arbor)
  • Multilayer Compute Resource Management with Robust Control Theory
    Raghavendra Pradyumna Pothukuchi, Sweta Yamini Pothukuchi, Petros Voulgaris, and Josep Torrellas (University of Illinois at Urbana-Champaign)