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Trade-offs Between Depth and Width in Parallel Computation - U Vishkin

Trade-offs Between Depth and Width in Parallel Computation

By: U Vishkin, Avi Wigderson

Paperback | 22 May 2025

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This work explores the trade-offs between depth and width in parallel computation. It delves into the fundamental limitations and possibilities when designing parallel algorithms, examining how the degree of parallelism (width) relates to the computational time (depth). The study is highly relevant to theoretical computer science and provides insights applicable to algorithm design and analysis. It presents a rigorous examination of computational complexity within parallel systems, offering a valuable resource for researchers and practitioners interested in optimizing parallel performance.

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This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.

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