1,721,155 research outputs found

    Informatica per Ingegneria Gestionale

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    Si tratta del testo per il corso di Informatica per Ingegneria Gestionale, prodotto dall'autore tramite la piattaforma Create della McGraw Hill, selezionando il materiale pertinente il corso da alcuni testi (di altri autori) della McGraw Hill

    An algorithm for the Classification of Coherence Related Overhead in Shared-Bus Shared-Memory Multiprocessors

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    This paper describes an algorithm for the classification of coherence overhead in shared-bus shared-memory multiprocessors. This algorithm is applicable to Write Update, Write Invalidate and Hybrid protocols and models the effect of finite size (real) cache. It differs from previous classifications because it classifies any sources of coherence overhead, i.e. invalidation miss, invalidate and write transactions, and also classifies the sharing due to process migration, namely passive sharing. A validation has been carried out considering SPLASH benchmark, and sample results in the case of E-Commerce Server are given

    Exploiting Replication to Improve Performances of NUCA-Based CMP Systems

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    Improvements in semiconductor nanotechnology made chip multiprocessors the reference architecture for high-performance microprocessors. CMPs usually adopt large Last-Level Caches (LLC) shared among cores and private L1 caches, whose performances depend on the wire-delay dominated response time of LLC. NUCA (NonUniform Cache Architecture) caches represent a viable solution for tolerating wire-delay effects. In this article, we present Re-NUCA, a NUCA cache that exploits replication of blocks inside the LLC to avoid performance limitations of D-NUCA caches due to conflicting access to shared data. Results show that a Re-NUCA LLC permits to improve performances of more than 5% on average, and up to 15% for applications that strongly suffer from conflicting access to shared data, while reducing network traffic and power consumption with respect to D-NUCA caches. Besides, it outperforms different S-NUCA schemes optimized with victim replication

    Towards Relating Physiological Signals to Usability Metrics: A Case Study with a Web Avatar

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    Inferring the user’s approval of a graphical interface with non-invasive devices can be effective in improving its design and in implementing adaptive pleasant interactions. This paper investigates how 3 common physiological signals, i.e. skin conductance, heart rate and respiration, can be exploited to infer users’ approval of an online avatar embedded in a health care Website. A between group experiment is performed with participants who have the avatar support and participants who do not. During the experiment, skin conductance, hearth rate and respiration were monitored, together with traditional usability metrics (visited pages, completion times, errors, etc). At the end of each experiment, a feedback questionnaire is proposed to infer information related to the user experience, ease of use and approval. Results indicate that the respiration overshoot rate is closely related to the users’ appreciation of the avatar based interaction. Further steps of our research will consider improvements in the results by investigating and exploiting mutual effects induced by the multiple collected signals
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