DOI,IST REx ID,Research Group,Title of publication
10.1145/3212734.3212798,5961,DaAl,A brief tutorial on distributed and concurrent machine learning
10.1145/3212734.3212763,5962,DaAl,The convergence of stochastic gradient descent in asynchronous shared memory
10.1145/3212734.3212756,5963,DaAl,Relaxed schedulers can efficiently parallelize iterative algorithms
10.1145/3212734.3212785,5964,DaAl,Brief Announcement: Performance prediction for coarse-grained locking
10.1145/3210377.3210411,5965,DaAl,Distributionally linearizable data structures
10.1145/3210377.3210406,5966,DaAl,The transactional conflict problem
10.1145/3201897,6001,DaAl,ThreadScan: Automatic and scalable memory reclamation
10.1109/SiPS.2018.8598402,6031,DaAl,Fast quantized arithmetic on x86: Trading compute for data movement
null,6558,DaAl,Byzantine stochastic gradient descent
null,6589,"DaAl,ChLa",The convergence of sparsified gradient methods
10.1145/3178487.3178489,397,DaAl,Harnessing epoch-based reclamation for efficient range queries
10.1073/pnas.1721061115,43,DaAl,Model of bacterial toxin-dependent pathogenesis explains infective dose
10.1007/s00446-017-0315-1,536,DaAl,Communication-efficient randomized consensus
10.1145/3087801.3087810,791,DaAl,The power of choice in priority scheduling
null,431,DaAl,QSGD: Communication-efficient SGD via gradient quantization and encoding
null,432,DaAl,"ZipML: Training linear models with end-to-end low precision, and a little bit of deep learning"
10.1145/3143361.3143367,487,DaAl,Towards unlicensed cellular networks in TV white spaces