— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
One of the major factors that can potentially slow down widespread use of embedded chip multiprocessors is lack of efficient software support. In particular, automated code paral...
Liping Xue, Mahmut T. Kandemir, Guangyu Chen, Tayl...
We propose an integrity measurement approach based on information flow integrity, which we call the Policy-Reduced Integrity Measurement Architecture (PRIMA). The recent availabi...
Traditional approaches for modeling a closed manifold surface with either regular tensor-product or triangular splines (defined over an open planar domain) require decomposing th...
We compare two algorithms for sorting out-of-core data on a distributed-memory cluster. One algorithm, Csort, is a 3-pass oblivious algorithm. The other, Dsort, makes three passes...