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A cláusula de melhores esforços (best efforts) na prática jurídica brasileira: uma nova perspectivaCosta, Márcio Henriques da 23 February 2016 (has links)
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Previous issue date: 2016-02-23 / The use of the best efforts clause is a common practice among Brazilian businessmen and lawyers. A study of sophisticated shareholders agreement of listed companies in Brazil shows the high incidence of the clause. Such inclusion has strong economic reasons, to justify its recognition and interpretation under Brazilian law. The standard of conduct required by this best efforts clause shall be analyzed according to different criteria, with subjective and objective elements, as well as the social environment and related custom and usage, based on well-established private law principles and rules. Brazil’s limited case law on this, as well as the consolidated jurisprudence in the U.S. relating to the clause, contribute to the best understanding of its legal nature and of the level of conduct required, which distinguishes the best efforts obligation from implicit good faith duties. Among findings, we can mention that the best efforts clause shall not be equate to the good faith duties or a mere moral duty. Its legal recognition as a distinct pattern of conduct, as each specific situation, shall be enforced by the national legal system / A utilização da cláusula de melhores esforços, ou best efforts, é prática comum do empresariado e advogados nacionais. Este trabalho realiza um levantamento a fim de demonstrar a alta incidência em acordos sofisticados entre acionistas de companhias abertas brasileiras. Tal inclusão tem fortes motivos econômicos, a justificar o reconhecimento e interpretação pelo aplicador do direito nacional. O padrão de conduta dessa obrigação de meio deve ser analisado por critérios distintos, por meio de elementos subjetivos e objetivos, bem como à luz do contexto social e usos e costumes relacionados, baseados em normas e princípios de direito privado amplamente aceitos. A escassa jurisprudência sobre o tema bem como a já consolidada jurisprudência norte-americana contribuem para o melhor entendimento sobre a natureza jurídica e o modelo de interpretação de conduta a ser aplicado, diferenciando a obrigação de melhores esforços dos deveres decorrentes da boa-fé objetiva. Entre as conclusões, pode-se mencionar que a cláusula de melhores esforços não deve ser igualada aos deveres de boa-fé ou a um mero dever moral. Seu reconhecimento legal como padrão de conduta distinto, apurado conforme cada caso, deve ser amparado pelo ordenamento jurídico nacional
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On Optimizing Transactional Memory: Transaction Splitting, Scheduling, Fine-grained Fallback, and NUMA OptimizationMohamedin, Mohamed Ahmed Mahmoud 01 September 2015 (has links)
The industrial shift from single core processors to multi-core ones introduced many challenges. Among them, a program cannot get a free performance boost by just upgrading to a new hardware because new chips include more processing units but at the same (or comparable) clock speed as the previous generation. In order to effectively exploit the new available hardware and thus gain performance, a program should maximize parallelism. Unfortunately, parallel programming poses several challenges, especially when synchronization is involved because parallel threads need to access the same shared data. Locks are the standard synchronization mechanism but gaining performance using locks is difficult for a non-expert programmers and without deeply knowing the application logic. A new, easier, synchronization abstraction is therefore required and Transactional Memory (TM) is the concrete candidate.
TM is a new programming paradigm that simplifies the implementation of synchronization. The programmer just defines atomic parts of the code and the underlying TM system handles the required synchronization, optimistically. In the past decade, TM researchers worked extensively to improve TM-based systems. Most of the work has been dedicated to Software TM (or STM) as it does not requires special transactional hardware supports. Very recently (in the past two years), those hardware supports have become commercially available as commodity processors, thus a large number of customers can finally take advantage of them. Hardware TM (or HTM) provides the potential to obtain the best performance of any TM-based systems, but current HTM systems are best-effort, thus transactions are not guaranteed to commit in any case. In fact, HTM transactions are limited in size and time as well as prone to livelock at high contention levels.
Another challenge posed by the current multi-core hardware platforms is their internal architecture used for interfacing with the main memory. Specifically, when the common computer deployment changed from having a single processor to having multiple multi-core processors, the architects redesigned also the hardware subsystem that manages the memory access from the one providing a Uniform Memory Access (UMA), where the latency needed to fetch a memory location is the same independently from the specific core where the thread executes on, to the current one with a Non-Uniform Memory Access (NUMA), where such a latency differs according to the core used and the memory socket accessed. This switch in technology has an implication on the performance of concurrent applications. In fact, the building blocks commonly used for designing concurrent algorithms under the assumptions of UMA (e.g., relying on centralized meta-data) may not provide the same high performance and scalability when deployed on NUMA-based architectures.
In this dissertation, we tackle the performance and scalability challenges of multi-core architectures by providing three solutions for increasing performance using HTM (i.e., Part-HTM, Octonauts, and Precise-TM), and one solution for solving the scalability issues provided by NUMA-architectures (i.e., Nemo).
• Part-HTM is the first hybrid transactional memory protocol that solves the problem of transactions aborted due to the resource limitations (space/time) of current best-effort HTM. The basic idea of Part-HTM is to partition those transactions into multiple sub-transactions, which can likely be committed in hardware. Due to the eager nature of HTM, we designed a low-overhead software framework to preserve transaction's correctness (with and without opacity) and isolation. Part-HTM is efficient: our evaluation study confirms that its performance is the best in all tested cases, except for those where HTM cannot be outperformed. However, in such a workload, Part-HTM still performs better than all other software and hybrid competitors.
• Octonauts tackles the live-lock problem of HTM at high contention level. HTM lacks of advanced contention management (CM) policies. Octonauts is an HTM-aware scheduler that orchestrates conflicting transactions. It uses a priori knowledge of transactions' working-set to prevent the activation of conflicting transactions, simultaneously. Octonauts also accommodates both HTM and STM with minimal overhead by exploiting adaptivity. Based on the transaction's size, time, and irrevocable calls (e.g., system call) Octonauts selects the best path among HTM, STM, or global locking. Results show a performance improvement up to 60% when Octonauts is deployed in comparison with pure HTM with falling back to global locking.
• Precise-TM is a unique approach to solve the granularity of the software fallback path of best-efforts HTM. It provide an efficient and precise technique for HTM-STM communication such that HTM is not interfered by concurrent STM transactions. In addition, the added overhead is marginal in terms of space or execution time. Precise-TM uses address-embedded locks (pointers bit-stealing) for a precise communication between STM and HTM. Results show that our precise fine-grained locking pays off as it allows more concurrency between hardware and software transactions. Specifically, it gains up to 5x over the default HTM implementation with a single global lock as fallback path.
• Nemo is a new STM algorithm that ensures high and scalable performance when an application workload with a data locality property is deployed. Existing STM algorithms rely on centralized shared meta-data (e.g., a global timestamp) to synchronize concurrent accesses, but in such a workload, this scheme may hamper the achievement of scalable performance given the high latency introduced by NUMA architectures for updating those centralized meta-data. Nemo overcomes these limitations by allowing only those transactions that actually conflict with each other to perform inter-socket communication. As a result, if two transactions are non-conflicting, they cannot interact with each other through any meta-data. Such a policy does not apply for application threads running in the same socket. In fact, they are allowed to share any meta-data even if they execute non-conflicting operations because, supported by our evaluation study, we found that the local processing happening inside one socket does not interfere with the work done by parallel threads executing on other sockets. Nemo's evaluation study shows improvement over state-of-the-art TM algorithms by as much as 65%. / Ph. D.
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