On the energy-efficiency of software transactional memory

Klein, Felipe; Baldassin, Alexandro; Araújo, Guido; Centoducatte, Paulo Cesar; Azevedo, Rodolfo

doi:10.1145/1601896.1601938

Cited by 10 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, because hardware transactional memory support is not currently available on commodity processors, this approach doesn't provide a solution today. Although software only implementations of transactional memory do exists today, Klein et al [4] demonstrate that software implementations typically lead to energy inefficiencies when subjected to high contention workloads. The present paper focuses instead on the energy efficiency of lock-free data structures using atomic primitives readily available on commercial processors, rather than relying on hardware or software support for transactional memory.…”

Section: Related Workmentioning

confidence: 99%

Characterizing the Performance and Energy Efficiency of Lock-Free Data Structures

Hunt

Sandhu

Ceze

2011

2011 15th Workshop on Interaction Between Compilers and Computer Architectures

View full text Add to dashboard Cite

Accesses to shared data structures in multithreaded programs must be correctly synchronized to ensure data consistency and integrity. However, this synchronization between threads is a common source of performance problems in multithreaded applications. Lock-free data structures are an alternative to traditional synchronization methods that have potential for not only better performance and scalability, but better energy efficiency as well.This paper presents a study of the relationship between the performance and energy consumption of various lockfree data structures based on the compare-and-swap primitive. We give a head-to-head comparison of lock-free and locking implementations of three data structures executing set of highly contentious workloads. We compare the execution time, peak power and total energy consumption of each and explain these results with the help of hardware performance counters. Our results show that under these workloads, the lock-free variants often perform better and use less energy then their traditional locking implementations.

show abstract

Section: Related Workmentioning

confidence: 99%

Characterizing the Performance and Energy Efficiency of Lock-Free Data Structures

Hunt

Sandhu

Ceze

2011

2011 15th Workshop on Interaction Between Compilers and Computer Architectures

View full text Add to dashboard Cite

show abstract

“…Regarding energy consumption in the context of TM, Klein et al [33] performed a study comparing STM and conventional lock-based systems, and also proposed new mechanisms to improve energy efficiency of STM. For HTM, Moreshet et al [34] performed an early comparison in terms of energy consumption and performance between the lock approach and TM consider-ing only the energy spent in the memory structures.…”

Section: Related Workmentioning

confidence: 99%

Fast and efficient commits for Lazy-Lazy hardware transactional memory

2015

View full text Add to dashboard Cite

Transactional Memory (TM) is a compelling alternative to simplify multi-threaded programming that traditionally relies on error-prone lockbased synchronization for implementing cooperative tasks. Lazy-Lazy hardware TM is one of the most efficient schemes in today's Hardware TM systems (HTMs). Nonetheless, the commit protocol in these systems has severe impact on performance and energy. The SEQ in Scalable TCC implementation (STCC-SEQ) is the most popular and efficient commit protocol to date. In this paper, we propose GCommit, a cost-effective hardware-based STCC-SEQ protocol. GCommit employs a G-Arbiter microarchitecture for achieving minimal-latency and high-efficient commits. We implement G-Arbiter with a standard 45 nm cell library. For a target 16-core CMP, a G-Arbiter just represents 0.07% of the whole on-chip area, requiring marginal energy consumption. Full-system simulations of the target system with the STAMP benchmarks show that GCommit achieves average reductions of 15.7% and 13.7% in execution time and energy, respectively, when compared with STCC-SEQ.

show abstract

“…A medição e análise do consumo de energia em sistemas transacionais foram inicialmente desenvolvidas em ambientes simulados, abordando sistemas com suporte em hardware para TM [18], [19]. Posteriormente sistemas em software também foram avaliados, usando a mesma infraestrutura de simulação [20], [21], [22]. Apesar de as análises iniciais serem válidas, ambientes simulados trabalham com algumas simplificações que podem afetar o resultado final.…”

Section: Trabalhos Relacionadosunclassified

Reavaliando a Eﬁciência Energética de Memória Transacional em Processadores Convencionais

Carvalho¹,

Baldassin²,

Azevedo³

2013

Anais Do XIV Simpósio Em Sistemas Computacionais De Alto Desempenho (SSCAD 2013)

View full text Add to dashboard Cite

Memória Transacional (TM) é um mecanismo recente de sincronização que objetiva ao mesmo tempo facilitar o desenvolvimento de aplicações concorrentes e fornecer desempenho. A maioria dos trabalhos em TM focam avaliação de desempenho, negligenciando outras métricas como consumo de energia. Trabalhos anteriores analisaram a eﬁciência energética de implementações de TM através de ambientes simulados com modelo de execução simpliﬁcado. Este trabalho apresenta uma reavaliação do consumo de energia e desempenho de uma implementação moderna de memória transacional em processadores convencionais. Será descrito e discutido uma técnica de medição de energia baseada em Registradores Especíﬁcos de Modelo (MSRs), técnica essa utilizada para obter e analisar o consumo energético de aplicações transacionais do benchmark STAMP, bem como de suas respectivas implementações baseadas em travas. Também será discutido o comportamento do consumo de energia e desempenho devido à inﬂuência de diferentes gerenciados de frequência disponíveis em conﬁgurações típicas de sistemas Linux. Nossos resultados mostram que memória transacional em software de fato reduz o consumo de energia quando comparada a implementações baseadas em travas grossas em 7 das 8 aplicações estudadas em um processador Intel® Sandy Bridge™.

show abstract

On the energy-efficiency of software transactional memory

Cited by 10 publications

References 17 publications

Characterizing the Performance and Energy Efficiency of Lock-Free Data Structures

Characterizing the Performance and Energy Efficiency of Lock-Free Data Structures

Fast and efficient commits for Lazy-Lazy hardware transactional memory

Reavaliando a Eﬁciência Energética de Memória Transacional em Processadores Convencionais

Contact Info

Product

Resources

About