{CLP}: Efficient and Scalable Search on Compressed Text Logs Rodrigues K, Luo Y, Yuan D. 2021. {CLP}: Efficient and Scalable Search on Compressed Text Logs. 15th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 21). :183--198. Read more about {CLP}: Efficient and Scalable Search on Compressed Text LogsDBLPLog in to post commentsGoogle ScholarBibTeX
Retrofitting High Availability Mechanism to Tame Hybrid Transaction/Analytical Processing Shen S, Chen R, Chen H, Zang B. 2021. Retrofitting High Availability Mechanism to Tame Hybrid Transaction/Analytical Processing. 15th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 21). :219--238. Read more about Retrofitting High Availability Mechanism to Tame Hybrid Transaction/Analytical ProcessingDBLPLog in to post commentsGoogle ScholarBibTeX
Optimizing Storage Performance with Calibrated Interrupts Tai A, Smolyar I, Wei M, Tsafrir D. 2021. Optimizing Storage Performance with Calibrated Interrupts. 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21). :129--145. Read more about Optimizing Storage Performance with Calibrated InterruptsDBLPLog in to post commentsGoogle ScholarBibTeX
Dorylus: Affordable, Scalable, and Accurate {GNN} Training with Distributed {CPU} Servers and Serverless Threads Thorpe J, Qiao Y, Eyolfson J, Teng S, Hu G, Jia Z, Wei J, Vora K, Netravali R, Kim M et al.. 2021. Dorylus: Affordable, Scalable, and Accurate {GNN} Training with Distributed {CPU} Servers and Serverless Threads. 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21). :495--514. Read more about Dorylus: Affordable, Scalable, and Accurate {GNN} Training with Distributed {CPU} Servers and Serverless ThreadsDBLPLog in to post commentsGoogle ScholarBibTeX
{PET}: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections Wang H, Zhai J, Gao M, Ma Z, Tang S, Zheng L, Li Y, Rong K, Chen Y, Jia Z. 2021. {PET}: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections. 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21). :37--54. Read more about {PET}: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated CorrectionsDBLPLog in to post commentsGoogle ScholarBibTeX
Polyjuice: {High-Performance} Transactions via Learned Concurrency Control Wang J, Ding D, Wang H, Christensen C, Wang Z, Chen H, Li J. 2021. Polyjuice: {High-Performance} Transactions via Learned Concurrency Control. 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21). :198--216. Read more about Polyjuice: {High-Performance} Transactions via Learned Concurrency ControlDBLPLog in to post commentsGoogle ScholarBibTeX
Nap: A {Black-Box} Approach to {NUMA-Aware} Persistent Memory Indexes Wang Q, Lu Y, Li J, Shu J. 2021. Nap: A {Black-Box} Approach to {NUMA-Aware} Persistent Memory Indexes. 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21). :93--111. Read more about Nap: A {Black-Box} Approach to {NUMA-Aware} Persistent Memory IndexesDBLPLog in to post commentsGoogle ScholarBibTeX
{GNNAdvisor}: An Adaptive and Efficient Runtime System for {GNN} Acceleration on {GPUs} Wang Y, Feng B, Li G, Li S, Deng L, Xie Y, Ding Y. 2021. {GNNAdvisor}: An Adaptive and Efficient Runtime System for {GNN} Acceleration on {GPUs}. 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21). :515--531. Read more about {GNNAdvisor}: An Adaptive and Efficient Runtime System for {GNN} Acceleration on {GPUs}DBLPLog in to post commentsGoogle ScholarBibTeX
Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing Yang Y, Kim T, Chun B-G. 2021. Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing. 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21). :349--365. Read more about Finding Consensus Bugs in Ethereum via Multi-transaction Differential FuzzingDBLPLog in to post commentsGoogle ScholarBibTeX
{DistAI}: {Data-Driven} Automated Invariant Learning for Distributed Protocols Yao J, Tao R, Gu R, Nieh J, Jana S, Ryan G. 2021. {DistAI}: {Data-Driven} Automated Invariant Learning for Distributed Protocols. 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 21). :405--421. Read more about {DistAI}: {Data-Driven} Automated Invariant Learning for Distributed ProtocolsDBLPLog in to post commentsGoogle ScholarBibTeX