This work focuses on congestion-driven placement of standard cells into rows in the fixed-die context. We summarize the stateof-the-art after two decades of research in recursive ...
Andrew E. Caldwell, Andrew B. Kahng, Igor L. Marko...
Research in algorithms for Boolean satisfiability and their efficient implementations [26, 8] has recently outpaced benchmarking efforts. Most of the classic DIMACS benchmarks fro...
Fadi A. Aloul, Arathi Ramani, Igor L. Markov, Kare...
Software-based self-test (SBST) is an emerging approach to address the challenges of high-quality, at-speed test for complex programmable processors and systems-on chips (SoCs) th...
Li Chen, Srivaths Ravi, Anand Raghunathan, Sujit D...
In this paper we present a method for simulating bleeding in a virtual reality hysteroscopic simulator for surgical training. The simulated bleeding is required to be visually app...
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...