Evidence map›Paper›PMID 38729952›Full record

ArticleScientific reports2024

3SAT on an all-to-all-connected CMOS Ising solver chip.

Hüsrev Cılasun, Ziqing Zeng, Ramprasath S, Abhimanyu Kumar, Hao Lo, William Cho, William Moy, Chris H Kim, Ulya R Karpuzcu, Sachin S Sapatnekar

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hüsrev CılasunUniversity of Minnesota, Minneapolis, USA.
Ziqing ZengUniversity of Minnesota, Minneapolis, USA.
Ramprasath SIndian Institute of Technology Madras, Chennai, India.
Abhimanyu KumarUniversity of Minnesota, Minneapolis, USA.
Hao LoUniversity of Minnesota, Minneapolis, USA.
William ChoUniversity of Minnesota, Minneapolis, USA.
William MoyUniversity of Minnesota, Minneapolis, USA.
Chris H KimUniversity of Minnesota, Minneapolis, USA.
Ulya R KarpuzcuUniversity of Minnesota, Minneapolis, USA.
Sachin S SapatnekarUniversity of Minnesota, Minneapolis, USA. sachin@umn.edu.

Funding

Defense Advanced Research Projects Agency FA8750-22-C-1034Intel Transformative Hardware for AI (THWAI)National Science Foundation 2230963
6 · The paper itself

Abstract

This work solves 3SAT, a classical NP-complete problem, on a CMOS-based Ising hardware chip with all-to-all connectivity. The paper addresses practical issues in going from algorithms to hardware. It considers several degrees of freedom in mapping the 3SAT problem to the chip-using multiple Ising formulations for 3SAT; exploring multiple strategies for decomposing large problems into subproblems that can be accommodated on the Ising chip; and executing a sequence of these subproblems on CMOS hardware to obtain the solution to the larger problem. These are evaluated within a software framework, and the results are used to identify the most promising formulations and decomposition techniques. These best approaches are then mapped to the all-to-all hardware, and the performance of 3SAT is evaluated on the chip. Experimental data shows that the deployed decomposition and mapping strategies impact SAT solution quality: without our methods, the CMOS hardware cannot achieve 3SAT solutions on SATLIB benchmarks. Under the assumption of some hardware improvements, our chip-based 3SAT solver demonstrates a remarkable 250

Identifiers

PMID38729952
PMCPMC11087575

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.