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20182023
most citedA Billion Updates per Second Using 30,000 Hierarchical In-Memory D4M Databases

5 citations · 10 across the 5 of their papers we have counts for

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9 papers · 1 filter

cs.DC2023

pPython Performance Study

Chansup Byun, William Arcand, David Bestor +17

pPython seeks to provide a parallel capability that provides good speed-up without sacrificing the ease of programming in Python by implementing partitioned global array semantics…

cs.DC2021

The MIT Supercloud Dataset

Siddharth Samsi, Matthew L Weiss, David Bestor +24

Artificial intelligence (AI) and Machine learning (ML) workloads are an increasingly larger share of the compute workloads in traditional High-Performance Computing (HPC) centers a…

cs.DC2020

75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices

Jeremy Kepner, Tim Davis, Chansup Byun +16

The SuiteSparse GraphBLAS C-library implements high performance hypersparse matrices with bindings to a variety of languages (Python, Julia, and Matlab/Octave). GraphBLAS provides…

cs.DC2019

Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M

Jeremy Kepner, Vijay Gadepally, Lauren Milechin +15

The Dynamic Distributed Dimensional Data Model (D4M) library implements associative arrays in a variety of languages (Python, Julia, and Matlab/Octave) and provides a lightweight i…

cs.DC20195 cited

Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers

Julia Mullen, Albert Reuther, William Arcand +15

For decades, the use of HPC systems was limited to those in the physical sciences who had mastered their domain in conjunction with a deep understanding of HPC architectures and al…

cs.DC2018

Interactive Launch of 16,000 Microsoft Windows Instances on a Supercomputer

Michael Jones, Jeremy Kepner, Bradley Orchard +16

Simulation, machine learning, and data analysis require a wide range of software which can be dependent upon specific operating systems, such as Microsoft Windows. Running this sof…