Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...
The DBGraph storage model, designed for main memory DBMS, ensures both data storage compactness and efficient processing for all database operations. By representing the entire da...
Due to power wall, memory wall, and ILP wall, we are facing the end of ever increasing single-threaded performance. For this reason, multicore and manycore processors are arising ...
The ability to store and retrieve information is critical in any type of neural network. In neural network, the memory particularly associative memory, can be defined as the one i...
Most shared memory systems maximize performance by unpredictably resolving memory races. Unpredictable memory races can lead to nondeterminism in parallel programs, which can suff...
Derek Hower, Polina Dudnik, Mark D. Hill, David A....