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Efficient Computing

6,876 papers

Papers per year

Papers

Immortal Threads: Multithreaded Event-driven Intermittent Computing on Ultra-Low-Power Microcontrollers OSDI 2022
TriCache: A User-Transparent Block Cache Enabling High-Performance Out-of-Core Processing with In-Memory Programs OSDI 2022
Tiger: Disk-Adaptive Redundancy Without Placement Restrictions OSDI 2022
zIO: Accelerating IO-Intensive Applications with Transparent Zero-Copy IO OSDI 2022
Orca: A Distributed Serving System for Transformer-Based Generative Models OSDI 2022
Microsecond-scale Preemption for Concurrent GPU-accelerated DNN Inferences OSDI 2022
Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters OSDI 2022
CAP-VMs: Capability-Based Isolation and Sharing in the Cloud OSDI 2022
Operating System Support for Safe and Efficient Auxiliary Execution OSDI 2022
Application-Informed Kernel Synchronization Primitives OSDI 2022
Hubble: Performance Debugging with In-Production, Just-In-Time Method Tracing on Android OSDI 2022
Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update OSDI 2022
FAERY: An FPGA-accelerated Embedding-based Retrieval System OSDI 2022
Efficient and Scalable Graph Pattern Mining on GPUs OSDI 2022
A Hardware Perspective to Evaluating Probabilistic Circuits PGM 2022
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints RSS 2022
Factory: Fast Contact for Robotic Assembly RSS 2022
Privacy-aware compression for federated data analysis UAI 2022
ResIST: Layer-wise decomposition of ResNets for distributed training UAI 2022
Low-precision arithmetic for fast Gaussian processes UAI 2022
Efficient learning of sparse and decomposable PDEs using random projection UAI 2022
Efficient and accurate top-k recovery from choice data UAI 2022
Shifted compression framework: generalizations and improvements UAI 2022
Superposing many tickets into one: A performance booster for sparse neural network training UAI 2022
Distributed adversarial training to robustify deep neural networks at scale UAI 2022