The HPCA Best Paper Award is given annually at the IEEE International Symposium on High-Performance Computer Architecture based on the paper’s novelty, fundamental insights, and potential for long-term impact. The HPCA Best Paper Award is selected by the Program Committee of the respective conference.
Amdahl’s Law in the Datacenter Era: A Market for Fair Processor Allocation.
Seyed Majid Zahedi (Duke University), Qiuyun Llull (VMware/Duke University), Benjamin C. Lee (Duke University).
Near-Optimal Access Partitioning for Memory Hierarchies with Multiple Heterogeneous Bandwidth Sources.
Jayesh Gaur (Intel), Mainak Chaudhuri (Indian Institute of Technology Kanpur), Pradeep Ramachandran (MulticoreWare Inc/Intel), and Sreenivas Subramoney (Intel).
2016: Two Distinguished Paper awards:
Memristive Boltzmann Machine: A Hardware Accelerator for Combinatorial Optimization and Deep Learning.
Mahdi Nazm Bojnordi and Engin Ipek (University of Rochester).
TABLA: A Unified Template-based Architecture for Accelerating Statistical Machine Learning.
Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbaksh, Joon Kim, and Hadi Esmaeilzadeh (Georgia Institute of Technology).
Architecture Exploration for Ambient Energy Harvesting Nonvolatile Processors.
Kaisheng Ma (PSU), Yang Zheng (PSU), Shuangchen Li (PSU), Karthik Swaminathan (PSU), Xueqing Li (PSU), Yongpan Liu (Tsinghua University), Jack Sampson (PSU), Yuan Xie (UCSB), Vijaykrishnan Narayanan (PSU).
Best Paper Runner-Up: Data Retention in MLC NAND Flash Memory: Characterization, Optimization and Recovery
Yu Cai, Yixin Luo (Carnegie Mellon University), Erich Haratsch (LSI Corporation), Ken Mai, Onur Mutlu (Carnegie Mellon University).
PVCoherence: Designing Flat Coherence Protocols for Scalable Verification.
Meng Zhang (Duke University), Jesse D. Bingham (Intel), John Erickson (Intel), Daniel J. Sorin (Duke University).
Best Paper Runner-Up: NUAT: A Non-Uniform Access Time Memory Controller.
Wongyu Shin, Jeongmin Yang, Jungwhan Choi, Lee-Sup Kim (KAIST).
Sonic Millip3De: A Massively Parallel 3D-Stacked Accelerator for 3D Ultrasound.
Ming Yang (Arizona State University), Siyuan Wei (Arizona State University), Chaitali Chakrabarti (Arizona State University), and Thomas F. Wenisch (University of Michigan).
Arun Raghavan (University of Pennsylvania), Yixin Luo (University of Michigan), Anuj Chandawalla (University of Michigan), Marios Papaefthymiou (University of Michigan), Kevin P. Pipe (University of Michigan), Thomas F. Wenisch (University of Michigan), Milo M. K. Martin (University of Pennsylvania).
SolarCore: Solar Energy Driven Multi-core Architecture Power Management.
Chao Li, Wangyuan Zhang, Chang-Burm Cho, and Tao Li (University of Florida).
Voltage Emergency Prediction: A Signature-Based Approach To Reducing Voltage Emergencies.
Vijay Janapa Reddi, Meeta S. Gupta, Glenn Holloway, Michael D. Smith, Gu-Yeon Wei, and David Brooks (Harvard University).
CMP Network-on-Chip Overlaid with Multi-Band RF-Interconnect.
M. Frank Chang, Jason Cong, Adam Kaplan, Mishali Naik, Glenn Reinman, Eran Socher, Sai-Wang Tam (UCLA).
Evaluating MapReduce for Multicore and Multiprocessor Systems.
C. Ranger, R. Raghuraman, A. Penmetsa, G. Bradski and C. Kozyrakis (Stanford University).
Checkpointed Early Load Retirement.
Nevin Kirman, Meyrem Kirman, Mainak Chaudhuri, José F. Martínez (Cornell University).