Networks-on-Chip (NoC) architectures provide a scalable solution to on-chip communication problem but the bandwidth offered by NoCs can be utilized efficiently only in presence of...
The multiplication of a variable by multiple constants, i.e., the multiple constant multiplications (MCM), has been a central operation and performance bottleneck in many applicat...
This work addresses the problem of application mapping in networks-on-chip (NoCs). It explores the importance of characterizing network traffic to effectively predict NoC energy c...
The Swedish Postal Services receives and distributes over 22 million pieces of mail every day. Mail transportation takes place overnight by airplanes, trains, trucks, and cars in ...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Martin And...
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...