We study the problem of applying adaptive filters for approximate query processing in a distributed stream environment. We propose filter bound assignment protocols with the obj...
Reynold Cheng, Ben Kao, Sunil Prabhakar, Alan Kwan...
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...
In this paper, a framework for replacing missing values in a database is proposed since a real-world database is seldom complete. Good data quality in a database can directly impr...
Value prediction breaks data dependencies in a program thereby creating instruction level parallelism that can increase program performance. Hardware based value prediction techni...
Thread-Level Speculation (TLS) allows us to automatically parallelize general-purpose programs by supporting parallel execution of threads that might not actually be independent. ...
J. Gregory Steffan, Christopher B. Colohan, Antoni...