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Influential Paper Award

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Clearing the clouds: a study of emerging scale-out workloads on modern hardware

Michael Ferdman, Almutaz Adileh, Onur Kocberber, Stavros Volos, Mohammad Alisafaee, Djordje Jevdjic, Cansu Kaynak, Adrian Daniel Popescu, Anastasia Ailamaki, Babak Falsafi

ASPLOS XVII: Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems, March 2012

Distinguished Paper Awards

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Spring

• Pond: CXL-Based Memory Pooling Systems for Cloud Platforms
  Huaicheng Li (Virginia Tech / Carnegie Mellon Univ.); Daniel S. Berger (Microsoft Azure / Univ. of Washington); Lisa Hsu (unaffiliated); Dan Ernst, Pantea Zardoshti (Microsoft Azure); Stanko Novakovic (Google); Monish Shah, Samir Rajadnya (Microsoft Azure); Scott Lee (Microsoft); Ishwar Agarwal (Intel); Mark D. Hill (Microsoft Azure / Univ. of Wisconsin-Madison); Marcus Fontoura (Stone Co); Ricardo Bianchini (Microsoft Azure)
• MC Mutants: Evaluating and Improving Testing for Memory Consistency Specifications
  Reese Levine, Tianhao Guo, Mingun Cho (Univ. of California, Santa Cruz); Alan Baker, Raph Levien, David Neto (Google); Andrew Quinn, Tyler Sorensen (Univ. of California, Santa Cruz)

Summer

• Junkyard Computing: Repurposing Discarded Smartphones to Minimize Carbon
  Jennifer Switzer, Gabriel Marcano, Ryan Kastner, Pat Pannuto (Univ. of California, San Diego)
• Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs
  Qinghao Hu, Meng Zhang (Nanyang Technological Univ.); Peng Sun (SenseTime); Yonggang Wen, Tianwei Zhang (Nanyang Technological Univ.)
• Propeller: A Profile Guided, Relinking Optimizer for Warehouse Scale Applications
  Han Shen, Krzysztof Pszeniczny, Rahman Lavaee, Snehasish Kumar, Sriraman Tallam, Xinliang (David) Li (Google)
• Hacky Racers: Exploiting Instruction-Level Parallelism to Generate Stealthy Fine-Grained Timers
  Haocheng Xiao, Sam Ainsworth (Univ. of Edinburgh)
• A Generic Service to Provide In-network Aggregation for Key-value Streams
  Yongchao He (Tsinghua Univ.); Wenfei Wu (Peking Univ.); Yanfang Le (Intel, Barefoot Switch Division); Ming Liu (Univ. of Wisconsin-Madison); ChonLam Lao (Harvard Univ.)

Fall

• eHDL: Turning eBPF/XDP Programs into Hardware Designs for the NIC
  Alessandro Rivitti (Axbryd / Tor Vergata Univ. of Rome); Roberto Bifulco (NEC Laboratories Europe); Angelo Tulumello (Axbryd / Tor Vergata Univ. of Rome); Marco Bonola (Axbryd); Salvatore Pontarelli (Sapienza Univ.)
• RepCut: Superlinear Parallel RTL Simulation with Replication-Aided Partitioning
  Haoyuan Wang, Scott Beamer (Univ. of California, Santa Cruz)
• Going Beyond the Limits of SFI: Flexible Hardware-Assisted In-Process Isolation with HFI
  Shravan Narayan, Tal Garfinkel (Univ. of California, San Diego); ‪Mohammadkazem Taram‬ (Purdue Univ.); Joey Rudek, Daniel Moghimi, Evan Johnson (Univ. of California, San Diego); Chris Fallin (Fastly); Anjo Vahldiek-Oberwagner, Michael LeMay (Intel Labs); Ravi Sahita (Rivos); Dean Tullsen, Deian Stefan (Univ. of California, San Diego)
• Mosaic Pages: Big TLB Reach with Small Pages
  Krishnan Gosakan (Rutgers Univ.); Jaehyun Han (Univ. of North Carolina at Chapel Hill); William Kuszmaul (Massachusetts Inst. of Technology); Ibrahim Nael Mubarek, Nirjhar Mukherjee (Carnegie Mellon Univ.); Karthik Sriram (Yale Univ.); Guido Tagliavini (Rutgers Univ.); Evan West, Michael Bender (Stony Brook Univ.); Abhishek Bhattacharjee (Yale Univ.); Alex Conway (VMware Research); Martin Farach-Colton (Rutgers Univ.); Jayneel Gandhi (Meta); Rob Johnson (VMware Research); Sudarsun Kannan (Rutgers Univ.); Donald Porter (Univ. of North Carolina at Chapel Hill)

Distinguished Artifact Awards

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Spring

• Risotto: A Dynamic Binary Translator for Weak Memory Model Architectures
  Redha Gouicem (Technische Univ. München); Dennis Sprokholt (Technische Univ. Delft); Jasper Ruehl (Technische Univ. München); Rodrigo C. O. Rocha (Univ. of Edinburgh); Tom Spink (Univ. of St Andrews); Soham Chakraborty (Technische Univ. Delft); Pramod Bhatotia (Technische Univ. München)

Summer

• Copy-on-Pin: The Missing Piece for Correct Copy-on-Write
  David Hildenbrand, Martin Schulz (Technical Univ. of Munich); Nadav Amit (VMware Research Group)
• TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization
  Anand Jayarajan (Univ. of Toronto / Vector Inst.); Wei Zhao, Yudi Sun (Univ. of Toronto); Gennady Pekhimenko (Univ. of Toronto / Vector Inst.)
• NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers
  Jiawei Liu (Univ. of Illinois Urbana-Champaign); Jinkun Lin, Fabian Ruffy (New York Univ.); Cheng Tan (Northeastern Univ.); Jinyang Li, Aurojit Panda (New York Univ.); Lingming Zhang (Univ. of Illinois Urbana-Champaign)
• MC Mutants: Evaluating and Improving Testing for Memory Consistency Specifications
  Reese Levine, Tianhao Guo, Mingun Cho (Univ. of California, Santa Cruz); Alan Baker, Raph Levien, David Neto (Google); Andrew Quinn, Tyler Sorensen (Univ. of California, Santa Cruz)
• Stepwise Debugging for Hardware Accelerators
  Griffin Berlstein, Rachit Nigam (Cornell Univ.); Chris Gyurgyik (Google); Adrian Sampson (Cornell Univ.)
• Compiling Distributed System Models with PGo
  Finn Hackett, Shayan Hosseini, Renato Costa, Matthew Do, Ivan Beschastnikh (Univ. of British Columbia)

Fall

• SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
  Zihao Ye (Univ. of Washington); Ruihang Lai (Carnegie Mellon Univ.); Junru Shao (OctoML); Tianqi Chen (Carnegie Mellon Univ.); Luis Ceze (Univ. of Washington)
• Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks
  Tushar Swamy (Stanford Univ.); Annus Zulfiqar (Purdue Univ.); Luigi Nardi (Lund Univ. / Stanford Univ.); Muhammad Shahbaz (Purdue Univ.); Kunle Olukotun (Stanford Univ.)