Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
In this work we address the problem of proving, by static analysis means, that allocating and deallocating regions in the store provides a safe way to achieve memory management. Th...
ncy Abstractions on x86-TSO Scott Owens University of Cambridge Abstract. With the rise of multi-core processors, shared-memory concurrency has become a widespread feature of compu...
Global address space languages like UPC exhibit high performance and portability on a broad class of shared and distributed memory parallel architectures. The most scalable applic...
We present a framework (Real-Time Calculus) for analysing various system properties pertaining to timing analysis, loads on various components and on-chip buffer memory requiremen...