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Efficient Computing
6,876 papers
Papers per year
2003: 3
2004: 2
2005: 3
2006: 3
2007: 8
2008: 10
2009: 7
2010: 11
2011: 12
2012: 15
2013: 53
2014: 48
2015: 55
2016: 97
2017: 135
2018: 233
2019: 369
2020: 502
2021: 664
2022: 741
2023: 1039
2024: 1063
2025: 1395
2026: 408
Papers
SelfTune: Tuning Cluster Managers
NSDI 2023
SlimWiFi: Ultra-Low-Power IoT Radio Architecture Enabled by Asymmetric Communication
NSDI 2023
SLNet: A Spectrogram Learning Neural Network for Deep Wireless Sensing
NSDI 2023
Sketchovsky: Enabling Ensembles of Sketches on Programmable Switches
NSDI 2023
Enabling High Quality Real-Time Communications with Adaptive Frame-Rate
NSDI 2023
NetPanel: Traffic Measurement of Exchange Online Service
NSDI 2023
Dashlet: Taming Swipe Uncertainty for Robust Short Video Streaming
NSDI 2023
mmWall: A Steerable, Transflective Metamaterial Surface for NextG mmWave Networks
NSDI 2023
LinkLab 2.0: A Multi-tenant Programmable IoT Testbed for Experimentation with Edge-Cloud Integration
NSDI 2023
Norma: Towards Practical Network Load Testing
NSDI 2023
Ship your Critical Section, Not Your Data: Enabling Transparent Delegation with TCLOCKS
OSDI 2023
Triangulating Python Performance Issues with SCALENE
OSDI 2023
LVMT: An Efficient Authenticated Storage for Blockchain
OSDI 2023
An Extensible Orchestration and Protection Framework for Confidential Cloud Computing
OSDI 2023
Conveyor: One-Tool-Fits-All Continuous Software Deployment at Meta
OSDI 2023
Replicating Persistent Memory Key-Value Stores with Efficient RDMA Abstraction
OSDI 2023
No Provisioned Concurrency: Fast RDMA-codesigned Remote Fork for Serverless Computing
OSDI 2023
SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory
OSDI 2023
ORC: Increasing Cloud Memory Density via Object Reuse with Capabilities
OSDI 2023
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving
OSDI 2023
Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning
OSDI 2023
Welder: Scheduling Deep Learning Memory Access via Tile-graph
OSDI 2023
Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators
OSDI 2023
Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters
OSDI 2023
MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms
OSDI 2023
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