Browsing Department of Electrical and Computer Engineering by Author "Lipasti, Mikko"
Now showing items 1-6 of 6
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Constructing Neural Branch Prediction with Memristive Device
Shi, Guangyu (2011-05-15)In superscalar computers, average branch instruction latency is crucial to the overall performance of the computer. Among all the branch predictors that have been proposed, neural branch predictors tend to have a better ... -
Fast Distributed Mutual Exclusion
Franey, Sean (2011-05-15)A technique is proposed for quickly distributing mutexes in a system of multiple nodes. Evaluated in the context of a physical network, it is relatively agnostic with respect to the underlying topology and can be modified ... -
Implementation of Complement Mode Execution
MItra, Jatin (2011-08-26)As technology goes deeper into the submicron range device aging effects become increasingly powerful. The Colt duty cycle equalizer gives a microarchitectural solution to this problem with execution of complemented data ... -
Optimizing Hierarchical Algorithms for GPGPUs
Nere, Andrew (2010-05-15)The performance potential of future architectures, thanks to Moores Law, grows linearly with the number of available devices per integrated circuit. Whether these future devices are ultra-small CMOS transistors, nano-tubes, ... -
Predicting the computational performance of neural circuits modeled with simple digital neurons
Eyal, Michael (2015-05-15) -
THERMAL MANAGEMENT OF THE HYBRID MEMORY CUBE
Khurshid, Mushfique (2013-05-19)Main memory performance is becoming an increasingly important factor contributing to overall system performance, especially due to the so-called memory wall. The Hybrid Memory Cube (HMC) is a novel 3D heterogenous ...