Material Type  

 학위논문

 

0016934364

Date and Time of Latest Transaction  

20240214101601

ISBN  

9798380313858

DDC  

004

Author  

Wang, Xinwen.

Title/Author  

A Programming Paradigm for Building Disaggregated Applications for the Heterogeneous Computing Environment - [electronic resource]

Publish Info  

[S.l.] : Cornell University., 2023

Publish Info  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Material Info  

1 online resource(139 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

General Note  

Advisor: van Renesse, Robbert;Myers, Andrew;Weatherspoon, Hakim.

학위논문주기  

Thesis (Ph.D.)--Cornell University, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Abstracts/Etc  

요약With the rise of cloud computing, many applications have transitioned to the cloud. However, various domain-specific tasks require specialized hardware to expedite computation, rather than relying solely on CPUs. This has transformed the cloud into a heterogeneous computing environment, composed of a variety of domain-specific specialized accelerators. Examples include GPUs for image classification and video processing, TPUs for artificial intelligence and machine learning tasks, and ASICs for blockchain mining. There are also specialized hardware pieces, such as smartNICs and smartSSDs, which can unlock more of the underlying hardware's potential.Nonetheless, the existing programming paradigm for applications is CPU-centric, meaning that specialized hardware is bound to a CPU host rather than being a first-class programmable abstraction. This can cause issues such as restricted scalability of accelerators on a single host, increased system complexity when managing multiple nodes, among other problems. In this dissertation, we propose a programming paradigm that consists of actors and shared logs to provide a resource-egalitarian abstraction, simplifying the development of applications within a heterogeneous computing environment. We present two frameworks following this programming paradigm to assist application developers in building applications in both a partitioned network IoT context and a resource-disaggregated cloud context.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Information technology.

Index Term-Uncontrolled  

Modularity

Index Term-Uncontrolled  

Blockchain mining

Index Term-Uncontrolled  

Cloud computing

Index Term-Uncontrolled  

Distributed systems

Index Term-Uncontrolled  

Computing environment

Added Entry-Corporate Name  

Cornell University Computer Science

Host Item Entry  

Dissertations Abstracts International. 85-03B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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소장사항  

202402 2024

Control Number  

joongbu:643125