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- University of California, BerkeleyUS22 papers
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cs.DC2023
Extensions to the SENSEI In situ Framework for Heterogeneous Architectures
Burlen Loring, E. Wes Bethel, Gunther H. Weber +1
The proliferation of GPUs and accelerators in recent supercomputing systems, so called heterogeneous architectures, has led to increased complexity in execution environments and pr…
cs.DC2017
Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization
Aditya Devarakonda, Kimon Fountoulakis, James Demmel +1
Parallel computing has played an important role in speeding up convex optimization methods for big data analytics and large-scale machine learning (ML). However, the scalability of…