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ORCID26th PACT 2017: Portland, OR, USA
- 26th International Conference on Parallel Architectures and Compilation Techniques, PACT 2017, Portland, OR, USA, September 9-13, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-6764-0
Session 1: Algorithms and Data Structures
- Dimitrios Siakavaras, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris:
RCU-HTM: Combining RCU with HTM to Implement Highly Efficient Concurrent Binary Search Trees. 1-13 - Louis Jenkins, Tingzhe Zhou, Michael F. Spear
:
Redesigning Go's Built-In Map to Support Concurrent Operations. 14-26 - Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, P. Sadayappan:
MultiGraph: Efficient Graph Processing on GPUs. 27-40 - Hamid Tabani, José-María Arnau, Jordi Tubella, Antonio González:
An Ultra Low-Power Hardware Accelerator for Acoustic Scoring in Speech Recognition. 41-52
Session 2: Approximate and Speculative Computations
- XianWei Zhang, Youtao Zhang, Bruce R. Childers, Jun Yang:
DrMP: Mixed Precision-Aware DRAM for High Performance Approximate and Precise Computing. 53-63 - Maleen Abeydeera, Suvinay Subramanian, Mark C. Jeffrey, Joel S. Emer, Daniel Sánchez:
SAM: Optimizing Multithreaded Cores for Speculative Parallelism. 64-78 - Joseph Izraelevitz, Lingxiang Xiang, Michael L. Scott:
Performance Improvement via Always-Abort HTM. 79-90 - Raj Parihar, Michael C. Huang:
DRUT: An Efficient Turbo Boost Solution via Load Balancing in Decoupled Look-Ahead Architecture. 91-104
Session 3: Data & Emerging Use Cases
- Reena Panda, Lizy Kurian John:
Proxy Benchmarks for Emerging Big-Data Workloads. 105-116 - Dong Dai, Yong Chen, Philip H. Carns, John Jenkins, Robert B. Ross:
Lightweight Provenance Service for High-Performance Computing. 117-129
Poster Papers
- Andreas Sembrant, Trevor E. Carlson, Erik Hagersten, David Black-Schaffer:
POSTER: Putting the G back into GPU/CPU Systems Research. 130-131 - Vincent T. Lee, Amrita Mazumdar, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin:
POSTER: Application-Driven Near-Data Processing for Similarity Search. 132-133 - Harshad Kasture, Xu Ji, Nosayba El-Sayed, Nathan Beckmann, Xiaosong Ma, Daniel Sánchez:
POSTER: Improving Datacenter Efficiency Through Partitioning-Aware Scheduling. 134-135 - Enrico Armenio Deiana, Vincent St-Amour, Peter A. Dinda, Nikos Hardavellas, Simone Campanoni:
POSTER: The Liberation Day of Nondeterministic Programs. 136-137 - Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut Taylan Kandemir, Myoungsoo Jung:
POSTER: Location-Aware Computation Mapping for Manycore Processors. 138-139 - Yuxi Liu, Xia Zhao, Zhibin Yu, Zhenlin Wang, Xiaolin Wang, Yingwei Luo, Lieven Eeckhout:
POSTER: BACM: Barrier-Aware Cache Management for Irregular Memory-Intensive GPGPU Workloads. 140-141 - Ya-Shuai Lü, Libo Huang, Li Shen:
POSTER: DaQueue: A Data-Aware Work-Queue Design for GPGPUs. 142-143 - Hongwen Dai, Zhen Lin, Chao Li, Chen Zhao, Fei Wang, Nanning Zheng, Huiyang Zhou:
POSTER: Accelerate GPU Concurrent Kernel Execution by Mitigating Memory Pipeline Stalls. 144-145 - Swagath Venkataramani, Jungwook Choi, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan, Leland Chang:
POSTER: Design Space Exploration for Performance Optimization of Deep Neural Networks on Shared Memory Accelerators. 146-147 - Yu Ji, Youhui Zhang, Wenguang Chen, Yuan Xie:
POSTER: Bridge the Gap Between Neural Networks and Neuromorphic Hardware. 148-149 - Younghyun Cho, Camilo A. Celis Guzman, Bernhard Egger:
POSTER: Improving NUMA System Efficiency with a Utilization-Based Co-scheduling. 150-151 - Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen:
POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection. 152-153 - Lin Ning, Randall Pittman, Xipeng Shen:
POSTER: Cutting the Fat: Speeding Up RBM for Fast Deep Learning Through Generalized Redundancy Elimination. 154-155 - Liu Liu, Sibren Isaacman, Abhishek Bhattacharjee, Ulrich Kremer:
POSTER: Exploiting Approximations for Energy/Quality Tradeoffs in Service-Based Applications. 156-157 - Prashant Singh Rawat, Aravind Sukumaran-Rajam, Atanas Rountev, Fabrice Rastello, Louis-Noël Pouchet, P. Sadayappan:
POSTER: Statement Reordering to Alleviate Register Pressure for Stencils on GPUs. 158-159 - Changmin Ahn, Camilo A. Celis Guzman, Bernhard Egger:
POSTER: NUMA-Aware Power Management for Chip Multiprocessors. 160-161 - Eldhose Peter, Janibul Bashir, Smruti R. Sarangi:
POSTER: BigBus: A Scalable Optical Interconnect. 162-163 - Amirhossein Mirhosseini, Mohammad Sadrosadati, Behnaz Soltani, Hamid Sarbazi-Azad, Thomas F. Wenisch:
POSTER: Elastic Reconfiguration for Heterogeneous NoCs with BiNoCHS. 164-165
Session 4: Memory 1
- Po-An Tsai, Nathan Beckmann, Daniel Sánchez:
Nexus: A New Approach to Replication in Distributed Shared Caches. 166-179 - Priyank Faldu, Boris Grot:
Leeway: Addressing Variability in Dead-Block Prediction for Last-Level Caches. 180-193 - Vicent Selfa, Julio Sahuquillo, Lieven Eeckhout, Salvador Petit, María Engracia Gómez:
Application Clustering Policies to Address System Fairness with Intel's Cache Allocation Technology. 194-205 - Seikwon Kim, Seonyoung Lee, Taehoon Kim, Jaehyuk Huh:
Transparent Dual Memory Compression Architecture. 206-218
Session 5: Best Papers (GPU Computing and Energy Efficiency)
- Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather:
End-to-End Deep Learning of Optimization Heuristics. 219-232 - Wei Han, Daniel Mawhirter, Bo Wu, Matthew Buland:
Graphie: Large-Scale Asynchronous Graph Traversals on Just a GPU. 233-245 - Nurit Moscovici, Nachshon Cohen, Erez Petrank:
A GPU-Friendly Skiplist Algorithm. 246-259 - Raghavendra Pradyumna Pothukuchi, Amin Ansari, Bhargava Gopireddy, Josep Torrellas:
Sthira: A Formal Approach to Minimize Voltage Guardbands under Variation in Networks-on-Chip for Energy Efficiency. 260-272
Session 6: Memory 2
- Amro Awad, Arkaprava Basu, Sergey Blagodurov, Yan Solihin, Gabriel H. Loh:
Avoiding TLB Shootdowns Through Self-Invalidating TLB Entries. 273-287 - Sizhuo Zhang, Muralidaran Vijayaraghavan, Arvind:
Weak Memory Models: Balancing Definitional Simplicity and Implementation Flexibility. 288-302 - Javier Picorel, Djordje Jevdjic, Babak Falsafi:
Near-Memory Address Translation. 303-317 - Hussein Elnawawy, Mohammad A. Alshboul, James Tuck, Yan Solihin:
Efficient Checkpointing of Loop-Based Codes for Non-volatile Main Memory. 318-329
Session 7: Translation
- Vasileios Porpodas:
SuperGraph-SLP Auto-Vectorization. 330-342 - Yu-Ping Liu, Ding-Yong Hong, Jan-Jan Wu, Sheng-Yu Fu, Wei-Chung Hsu:
Exploiting Asymmetric SIMD Register Configurations in ARM-to-x86 Dynamic Binary Translation. 343-355 - Taewook Oh, Stephen R. Beard, Nick P. Johnson, Sergiy Popovych, David I. August:
A Generalized Framework for Automatic Scripting Language Parallelization. 356-369
ACM SRC Presentations
- Jiacong He, Joseph Callenes-Sloan:
Architecting a Novel Hybrid Cache with Low Energy. 370 - Karl Taht, Rajeev Balasubramonian:
Introspective Computing. 371 - Thiago Santos Faria Xavier Teixeira, David A. Padua, William Gropp:
A DSL for Performance Orchestration. 372 - Arun Subramaniyan, Jingcheng Wang, Ezhil R. M. Balasubramanian, David T. Blaauw, Dennis Sylvester, Reetuparna Das:
Cache Automaton: Repurposing Caches for Automata Processing. 373 - Yomi Karthik Rupesh, Mahdi Nazm Bojnordi:
Large Scale Data Clustering Using Memristive k-Median Computation. 374 - Daichi Fujiki, Scott A. Mahlke, Reetuparna Das:
In-memory Data Flow Processor. 375 - Raghavendra Pradyumna Pothukuchi, Sweta Yamini Pothukuchi, Petros G. Voulgaris, Josep Torrellas:
Multilayer Compute Resource Management with Robust Control Theory. 376
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