In high performance processors, the design of on-chip memory hierarchies is crucial for
performance and energy efficiency. Current processors rely on large shared Non-Uniform …

In order to perform big-data analytics, regression involving large matrices is often necessary.
In particular, large scale regression problems are encountered when one wishes to extract …

The rate of annual data generation grows exponentially. At the same time, there is a high
demand to analyze that information quickly. In the past, every processor generation came …

Asynchronous iterative computations (AIC) are common in machine learning and data
mining systems. However, the lack of synchronization barriers in asynchronous processing …

The end of Dennard scaling has caused a stagnation of the clock frequency in computers.
To overcome this issue, in the last two decades vendors have been integrating larger …

Hardware errors become more common as silicon technologies shrink and become more
vulnerable, especially in memory cells, which are the most exposed to errors. Permanent …

Following Moore's Law, the number of transistors on chip has been increasing
exponentially, which has led to the increasing complexity of modern processors. As a result …

In the middle of the 2000s a fundamental change of course occurred in computer
architecture because techniques such as frequency scaling and instruction level parallelism …