HIGH PERFORMANCE MERGE SORT WITH SCALABLE PARALLELIZATION AND FULL-THROUGHPUT REDUCTION

Patent №

US 11,249,720

Granted

2022-02-15

Filed 2019

Owner

CARNEGIE MELLON UNIVERSITY

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16688055

Disclosed herein is a novel multi-way merge network, referred to herein as a Hybrid Comparison Look Ahead Merge (HCLAM), which incurs significantly less resource consumption as scaled to handle larger problems. In addition, a parallelization scheme is disclosed, referred to herein as Parallelization by Radix Pre-sorter (PRaP), which enables an increase in streaming throughput of the merge network. Furthermore, high performance reduction scheme is disclosed to achieve full throughput.

Machine learningAI hardwareG06F 7/16G06F 7/36G06F 7/49G06F 7/49942G06F 9/30079G06F 9/544G06F 16/9027G06F 17/10

AI classification

AI hardware1.00
Machine learning1.00
Natural language0.09
Knowledge representation0.01
Speech0.00
Vision0.00
Evolutionary computation0.00
Planning0.00

Ownership

CARNEGIE MELLON UNIVERSITY

assignment · 545180146

Assignors

SADI, FAZLE, PILEGGI, LARRY, FRANCHETTI, FRANZ

On an employer assignment, the assignors are typically the inventors.

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