8 citations · 15 across the 3 of their papers we have counts for
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cs.DC2018
Optimizing Data-Intensive Computations in Existing Libraries with Split Annotations
Shoumik Palkar, Matei Zaharia
Data movement between main memory and the CPU is a major bottleneck in parallel data-intensive applications. In response, researchers have proposed using compilers and intermediate…
cs.DC2017★ 7 cited
Weld: Rethinking the Interface Between Data-Intensive Applications
Shoumik Palkar, James Thomas, Deepak Narayanan +7
Data analytics applications combine multiple functions from different libraries and frameworks. Even when each function is optimized in isolation, the performance of the combined a…