نتایج جستجو برای: negative prediction value
تعداد نتایج: 1438706 فیلتر نتایج به سال:
Data dependencies between instructions greatly impede instruction-level parallelism. Recently two hardware techniques – Value Prediction and Value Reuse – have been proposed to overcome the limits imposed by data dependencies. We introduce a new hardware scheme for exploiting speculative value reuse by using value prediction. We propose a new microarchitecture which uses value prediction to pro...
Due to their occasional very long latency, load instructions are among the slowest instructions of current highperformance microprocessors. Unfortunately, their long latency also delays the execution of all the dependent instructions, which can significantly affect system performance. Load value prediction alleviates this problem by allowing the CPU to speculatively continue processing without ...
This paper introduces dependence-based value prediction: prediction based on information that can be propagated through dependences. We propose an organization for a dependence-based value predictor and investigate how to use different types of dependence information to predict values produced by instructions. We consider first register dependences and then memory dependences. Memory dependence...
This workshop paper explores some ideas for value prediction and data speculation in hardware transactional memory. We present these ideas in the context of false sharing, at the cache line level, within hardware transactions. We distinguish between coherence conflicts, which may result from false sharing, from true data conflicts, which we call transactional conflicts. We build on some of the ...
The short-term risk of an ischemic stroke after a transient ischemic attack (TIA) is estimated to be approximately 3%-10% at 2 days, 5% at 7 days, and 9%-17% at 90 days, depending on active or passive ascertainment of ischemic stroke. Various risk prediction scores are available to identify high-risk patients. We present here a pragmatic review of the literature discussing the main scoring syst...
We introduce the prediction value (PV) as a measure of players’ informational importance in probabilistic TU games. The latter combine a standard TU game and a probability distribution over the set of coalitions. Player i’s prediction value equals the difference between the conditional expectations of v(S) when i cooperates or not. We characterize the prediction value as a special member of the...
Value prediction was proposed in the mid 90’s to enhance the performance of highend microprocessors. Unfortunately, to the best of our knowledge, there are no Value Prediction implementations available on the market. Moreover, the research on Value Prediction techniques almost vanished in the early 2000’s as it was more effective to increase the number of cores than to dedicate silicon to Value...
This paper proposes a novel deep reinforcement learning (RL) architecture, called Value Prediction Network (VPN), which integrates model-free and model-based RL methods into a single neural network. In contrast to typical model-based RL methods, VPN learns a dynamics model whose abstract states are trained to make option-conditional predictions of future values (discounted sum of rewards) rathe...
This paper presents a new technique for value prediction. It uses perceptrons, one of the simplest neural networks, for prediction of instruction output values. Perceptrons have been shown to be highly effective for conditional branch prediction. Current value predictors use two-bit saturating counters for value prediction and involve an exponential increase in hardware resources. This limits t...
BACKGROUND Histological chorioamnionitis (HC) is an intrauterine inflammatory process highly associated with preterm birth and adverse neonatal outcome. HC is often clinically silent and diagnosed postnatally by placental histology. Earlier identification could facilitate treatment individualisation to improve outcome in preterm newborns. AIM Develop a clinical prediction rule at birth for HC...
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