11/30/2022 0 Comments Count run with 5 vowels![]() ![]() Finally, in the spirit of performing a comprehensive study, applications from a variety of domains and programming styles are evaluated. ![]() In this way, a more accurate upper-bound on the performance potential of the TLS execution paradigm is obtained (as opposed to some particular architecture design point) and, moreover, relative performance gains can be related to specific high-level architectural support. High-level TLS architectural support is explored in one common framework. To this end a characterization approach is pursued that is, as much as possible, independent of specific architecture configurations. In this paper we attempt to remedy some of the shortcomings of previous TLS limit studies. Unfortunately, such previous studies have failed to truly assess TLS performance potential, because they have been bound to some specific TLS architecture and have ignored one or another important TLS design choice, such as support for out-of-order task spawn or support for intermediate checkpointing. On the other hand, other studies have attempted to assess how well TLS performs if some architectural/ compiler constraint is relaxed. Such studies often narrowly concentrated on a specific design point. Most prior work has focused on developing the compiler and architecture for this execution paradigm. Thread-Level Speculation (TLS) facilitates the extraction of parallel threads from sequential applications. Their ability to reduce performance is quantitatively established, individually as well as in combination. All of the proposed techniques can be accommodated in a lazy versioning and lazy conflict resolution HTM built on top of a MESI cache-coherence infrastructure with quite modest extensions. In addition, it revisits and adapts a technique that is able to reduce losses due to both true and false conflicts. The paper also contributes with two techniques for removal of data conflicts: One for removal of false sharing conflicts and another for removal of silent store conflicts. ![]() To quantify losses, the paper first proposes the 5C cache-miss classification model that extends the well-established 4C model with a new class of cache misses known as contamination misses. These conflicts can cause performance and energy losses due to aborts and extra communication. It dissects the root causes of data conflicts in hardware transactional memory systems (HTM) into four classes of conflicts: true sharing, false sharing, silent store, and write-write conflicts. This paper analyzes the sources of performance losses in hardware transactional memory and investigates techniques to reduce the losses. COUNT RUN WITH 5 VOWELS OFFLINEWe process data offline or during garbageĬollection, where possible, in order to minimize the probe effect introduced by profiling. The design and implementation of the profiling techniques in the Bartok-STM system. First we analyze the performance of TM applications using our profiling techniquesĪnd then we apply various optimizations to improve the performance of the Bayes, Labyrinth and Intruder applications. Suite and from the synthetic WormBench workload. COUNT RUN WITH 5 VOWELS SERIESTo examine theĮffectiveness of the profiling and optimization techniques, we provide a series of illustrations from the STAMP TM benchmark Specific optimizations which leverage nested transactions, transaction checkpoints, early release and etc. To reduce the contention between transactions we suggest several TM Altogether they provide in-depth and comprehensive informationĪbout the wasted work caused by aborting transactions. Time and which of their transactions conflict most frequently. Path through the heap, rather than a machine address, and (iii) visualization techniques to summarize how threads spend their The profiling techniques are of three types: (i) techniques to identify multiple potentialĬonflicts from a single program run, (ii) techniques to identify the data structures involved in conflicts by using a symbolic In this paper we introduce a series of profiling and optimization However, comparatively little has been done to provide general-purpose toolsįor profiling and optimizing programs which use transactions. Many researchers have developed applications using transactional memory (TM) with the purpose of benchmarking different implementations,Īnd studying whether or not TM is easy to use. ![]()
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