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...
The problem of locally transforming or translating programs without altering their semantics is central to the construction of correct compilers. For concurrent shared-memory progr...
Sebastian Burckhardt, Madanlal Musuvathi, Vasu Sin...
We propose an interleaved memory organization supporting multi-pattern parallel accesses in twodimensional (2D) addressing space. Our proposal targets computing systems with high ...
Arseni Vitkovski, Georgi Kuzmanov, Georgi Gaydadji...
This paper presents a compiler technique that reduces the energy consumption of the memory subsystem, for an off-chip partitioned memory architecture having multiple memory banks ...
—In a conventional SoC designs, on-chip memories occupy more than the 50% of the total die area. 3D technology enables the distribution of logic and memories on separate stacked ...
Marco Facchini, Paul Marchal, Francky Catthoor, Wi...