C
Charles E. Leiserson
Researcher at Massachusetts Institute of Technology
Publications - 190
Citations - 50798
Charles E. Leiserson is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Cilk & Scheduling (computing). The author has an hindex of 65, co-authored 185 publications receiving 49312 citations. Previous affiliations of Charles E. Leiserson include Vassar College & Carnegie Mellon University.
Papers
More filters
Proceedings ArticleDOI
A consistency architecture for hierarchical shared caches
TL;DR: This work proves that the HCC protocol is deadlock free and provides sequential consistency, and it is shown that the latency is at most proportional to the diameter of the network.
Patent
Digital computer for determining a combined tag value from tag values selectively incremented and decremented reflecting the number of messages transmitted and not received
Bradley C. Kuszmaul,Charles E. Leiserson,Shaw-Wen Yang,Carl R. Feynman,W. Daniel Hillis,David C. Douglas +5 more
TL;DR: A digital computer includes a plurality of processing elements, a command processor, a diagnostic processor and a communications network as mentioned in this paper, each performing data processing and data communications operations in connection with commands, and also performing diagnostic operations in response to diagnostic operation requests and providing diagnostic results in response thereto.
Journal ArticleDOI
A compact layout for the three-dimensional tree of meshes
TL;DR: A simple demonstration that the n×n×n tree of meshes graph truncated to l levels can be embedded in a three-dimensional (3D) grid using volume O(n 3 l 3 2 ) .
Proceedings ArticleDOI
Helper locks for fork-join parallel programming
TL;DR: The theoretical completion-time and space-usage bounds for a design of HELPER based on work stealing are provided and it is proved that HELPER completes a program using only O(S1 stack space, where S is the sum, over all regions, of the stack space used by each region in a serial execution.
Journal ArticleDOI
Lifelong learning: Science professors need leadership training
TL;DR: To drive discovery, scientists heading up research teams large and small need to learn how people operate, argue Charles E. Leiserson and Chuck McVinney.