Transactional Memory without Hardware Support: A Comprehensive Software-Driven Approach

Transactional memory (TM) simplifies concurrent programming by enabling code blocks to execute in isolation, eliminating the complexities of locks and ensuring data con- sistency. While hardware-based TM (HTM) offers performance advantages, it faces limitations in scalability, flexibility, and hardware dependency. This paper presents a comprehensive anal- ysis of software transactional memory (STM), offering a robust alternative that operates without hardware support. We explore various STM techniques, their implementation challenges, and performance trade-offs compared to HTM. Additionally, we discuss novel optimizations that enhance the efficiency of STM, making it a viable solution for concurrent systems, especially in environments where hardware TM is not feasible. Our findings demonstrate that with the right optimizations, STM can achieve performance levels close to that of HTM, while providing greater flexibility and adaptability in diverse computing environments.

Authors

Publication Details

Journal
Panamerican mathematical journal.
Published
2024-10-21
DOI
https://doi.org/10.52783/pmj.v35.i1.5048
Citations
3
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transactional Memory without Hardware Support: A Comprehensive Software-Driven Approach

J. B. Singh
3 citations
Panamerican mathematical journal.
Distributed systems and fault tolerance
1.05
article

Transactional Memory without Hardware Support: A Comprehensive Software-Driven Approach

J. B. Singh
article en
3 citations

Abstract

Transactional memory (TM) simplifies concurrent programming by enabling code blocks to execute in isolation, eliminating the complexities of locks and ensuring data con- sistency. While hardware-based TM (HTM) offers performance advantages, it faces limitations in scalability, flexibility, and hardware dependency. This paper presents a comprehensive anal- ysis of software transactional memory (STM), offering a robust alternative that operates without hardware support. We explore various STM techniques, their implementation challenges, and performance trade-offs compared to HTM. Additionally, we discuss novel optimizations that enhance the efficiency of STM, making it a viable solution for concurrent systems, especially in environments where hardware TM is not feasible. Our findings demonstrate that with the right optimizations, STM can achieve performance levels close to that of HTM, while providing greater flexibility and adaptability in diverse computing environments.

Panamerican mathematical journal.Vol. 35(1)
Openalex Percentile: Top 20%
Distributed systems and fault tolerance
1.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Transactional Memory without Hardware Support: A Comprehensive Software-Driven Approach — J. B. Singh · Panamerican mathematical journal. (2024) | TGRS Research Map | TGRS