Sibylla: To Retry or Not To Retry on Deep Learning Job Failure Kim T, Jeong S, Lee J, Lee S, Jeon M. 2022. Sibylla: To Retry or Not To Retry on Deep Learning Job Failure. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :263--270. Read more about Sibylla: To Retry or Not To Retry on Deep Learning Job FailureDBLPLog in to post commentsGoogle ScholarBibTeX
Co-opting Linux Processes for {High-Performance} Network Simulation Jansen R, Newsome J, Wails R. 2022. Co-opting Linux Processes for {High-Performance} Network Simulation. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :327--350. Read more about Co-opting Linux Processes for {High-Performance} Network SimulationDBLPLog in to post commentsGoogle ScholarBibTeX
Serving Heterogeneous Machine Learning Models on {Multi-GPU} Servers with {Spatio-Temporal} Sharing Choi S, Lee S, Kim Y, Park J, Kwon Y, Huh J. 2022. Serving Heterogeneous Machine Learning Models on {Multi-GPU} Servers with {Spatio-Temporal} Sharing. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :199--216. Read more about Serving Heterogeneous Machine Learning Models on {Multi-GPU} Servers with {Spatio-Temporal} SharingDBLPLog in to post commentsGoogle ScholarBibTeX
{IPLFS}: {Log-Structured} File System without Garbage Collection Kim J, Kim M, Tehseen MDanish, Oh J, Won Y. 2022. {IPLFS}: {Log-Structured} File System without Garbage Collection. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :739--754. Read more about {IPLFS}: {Log-Structured} File System without Garbage CollectionDBLPLog in to post commentsGoogle ScholarBibTeX
Speculative Recovery: Cheap, Highly Available Fault Tolerance with Disaggregated Storage Li N, Kalaba A, Freedman MJ, Lloyd W, Levy A. 2022. Speculative Recovery: Cheap, Highly Available Fault Tolerance with Disaggregated Storage. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :271--286. Read more about Speculative Recovery: Cheap, Highly Available Fault Tolerance with Disaggregated StorageDBLPLog in to post commentsGoogle ScholarBibTeX
Vinter: Automatic {Non-Volatile} Memory Crash Consistency Testing for Full Systems Kalbfleisch S, Werling L, Bellosa F. 2022. Vinter: Automatic {Non-Volatile} Memory Crash Consistency Testing for Full Systems. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :933--950. Read more about Vinter: Automatic {Non-Volatile} Memory Crash Consistency Testing for Full SystemsDBLPLog in to post commentsGoogle ScholarBibTeX
Whale: Efficient Giant Model Training over Heterogeneous {GPUs} Jia X, Jiang L, Wang A, Xiao W, Shi Z, Zhang J, Li X, Chen L, Li Y, Zheng Z et al.. 2022. Whale: Efficient Giant Model Training over Heterogeneous {GPUs}. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :673--688. Read more about Whale: Efficient Giant Model Training over Heterogeneous {GPUs}DBLPLog in to post commentsGoogle ScholarBibTeX
Faster Software Packet Processing on {FPGA} {NICs} with {eBPF} Program Warping Bonola M, Belocchi G, Tulumello A, Brunella MSpaziani, Siracusano G, Bianchi G, Bifulco R. 2022. Faster Software Packet Processing on {FPGA} {NICs} with {eBPF} Program Warping. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :987--1004. Read more about Faster Software Packet Processing on {FPGA} {NICs} with {eBPF} Program WarpingDBLPLog in to post commentsGoogle ScholarBibTeX
{Zero-Change} Object Transmission for Distributed Big Data Analytics Wu M, Wang S, Chen H, Zang B. 2022. {Zero-Change} Object Transmission for Distributed Big Data Analytics. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :137--150. Read more about {Zero-Change} Object Transmission for Distributed Big Data AnalyticsDBLPLog in to post commentsGoogle ScholarBibTeX
{PilotFish}: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training Zhang W, Chen B, Han Z, Chen Q, Cheng P, Yang F, Shu R, Yang Y, Guo M. 2022. {PilotFish}: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training. 2022 USENIX Annual Technical Conference (USENIX ATC 22). :217--232. Read more about {PilotFish}: Harvesting Free Cycles of Cloud Gaming with Deep Learning TrainingDBLPLog in to post commentsGoogle ScholarBibTeX