PIM-trie: A Skew-resistant Trie for Processing-in-Memory

Author:

Kang Hongbo1ORCID,Zhao Yiwei2ORCID,Blelloch Guy E.2ORCID,Dhulipala Laxman3ORCID,Gu Yan4ORCID,McGuffey Charles5ORCID,Gibbons Phillip B.2ORCID

Affiliation:

1. Tsinghua University, Beijing, China

2. Carnegie Mellon University, Pittsburgh, USA

3. University of Maryland, College Park, College Park, USA

4. University of California, Riverside, Riverside, USA

5. Reed College, Portland, USA

Funder

National Science Foundation

Beijing HaiZhi XingTu Technology Co., Ltd.

VMware

National Key Research and Development Program of China

Tsinghua University Initiative Scientific Research Program

Natural Science Foundation of China

Publisher

ACM

Reference69 articles.

1. A scalable processing-in-memory accelerator for parallel graph processing

2. Memristor Based Federated Learning for Network Security on the Edge using Processing in Memory (PIM) Computing

3. Shaahin Angizi , Naima Ahmed Fahmi , Wei Zhang , and Deliang Fan . 2020 . PIM-Assembler: A Processing-in-Memory Platform for Genome Assembly. In 2020 57th ACM/IEEE Design Automation Conference (DAC). 1--6. https://doi.org/10 .1109/DAC18072.2020.9218653 10.1109/DAC18072.2020.9218653 Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, and Deliang Fan. 2020. PIM-Assembler: A Processing-in-Memory Platform for Genome Assembly. In 2020 57th ACM/IEEE Design Automation Conference (DAC). 1--6. https://doi.org/10.1109/DAC18072.2020.9218653

4. Maya Arbel-Raviv , Trevor Brown , and Adam Morrison . 2018 . Getting to the Root of Concurrent Binary Search Tree Performance . In 2018 USENIX Annual Technical Conference, USENIX ATC 2018 , Boston, MA, USA , July 11-13, 2018, Haryadi S. Gunawi and Benjamin Reed (Eds.). USENIX Association, 295--306. https://www.usenix.org/conference/atc18/presentation/arbel-raviv Maya Arbel-Raviv, Trevor Brown, and Adam Morrison. 2018. Getting to the Root of Concurrent Binary Search Tree Performance. In 2018 USENIX Annual Technical Conference, USENIX ATC 2018, Boston, MA, USA, July 11-13, 2018, Haryadi S. Gunawi and Benjamin Reed (Eds.). USENIX Association, 295--306. https://www.usenix.org/conference/atc18/presentation/arbel-raviv

5. A survey on processing-in-memory techniques: Advances and challenges. Memories - Materials;Asifuzzaman Kazi;Devices, Circuits and Systems,2023

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