Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
The performance of the data memory hierarchy is extremely important in current and near future high performance superscalar microprocessors. To address the memory gap, computer de...
Abstract— Short TCP flows may suffer significant responsetime performance degradations during network congestion. Unfortunately, this creates an incentive for misbehavior by cl...
Power-aware processors operate in various power modes to reduce energy consumption with a corresponding decrease in peak processor throughput. Recent work has shown power-aware cl...
We present a fully proof-producing implementation of a quantifier elimination procedure for real closed fields. To our knowledge, this is the first generally useful proof-producing...