Timing budgeting under process variations is an important step in a statistical optimization flow. We propose a novel formulation of the problem where budgets are statistical ins...
We are currently faced with the situation where applications have increasing computational demands and there is a wide selection of parallel processor systems. In this paper we fo...
Frederico Pratas, Pedro Trancoso, Alexandros Stama...
We propose a novel design estimation method for adaptive streaming applications to be implemented on a partially reconfigurable FPGA. Based on experimental results we enable accu...
Ingo Sander, Jun Zhu, Axel Jantsch, Andreas Herrho...
Emerging DNA sequencing technologies open up exciting new opportunities for genome sequencing by generating read data with a massive throughput. However, produced reads are signif...
SIMD extension is one of the most common and effective technique to exploit data-level parallelism in today’s processor designs. However, the performance of SIMD architectures i...