K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
This paper proposes an efficient analysis flow and an algorithm to identify the worst case noise for power networks with multiple clock domains. First, we apply the Laplace transf...
Wanping Zhang, Ling Zhang, Rui Shi, He Peng, Zhi Z...
We present a new lockset-based algorithm, Goldilocks, for precisely computing the happens-before relation and thereby detecting data-races at runtime. Dynamic race detection algori...
We propose a new algorithm for recovering asynchronously from failures in a distributed computation. Our algorithm is based on two novel concepts - a fault-tolerant vector clock t...
Non-uniform utilization of functional units in combination with hardware mechanisms such as clock gating leads to different power consumptions in different parts of a processor ch...