We present a new exploration and optimization method to select customized implementations for dynamic data sets, as encountered in telecom network, database and multimedia applica...
Chantal Ykman-Couvreur, J. Lambrecht, Diederik Ver...
Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...
Low-latency remote-write networks, such as DEC’s Memory Channel, provide the possibility of transparent, inexpensive, large-scale shared-memory parallel computing on clusters of...
Robert Stets, Sandhya Dwarkadas, Nikos Hardavellas...
This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations, and allocates on-chip storage. Our compiler uses...
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...