Shared cache contention can cause significant variability in the performance of co-running
applications from run to run. This variability arises from different overlap**s of the …

As cache hierarchies become deeper and the number of cores on a chip increases,
managing caches becomes more important for performance and energy. However, current …

The major impediment to scaling concurrent data structures is memory contention when
accessing shared data structure access-points, leading to thread serialisation, hindering …

Voltage scaling is known to be an efficient way of saving power and energy within a system,
and large caches such as LLCs are good candidates for voltage scaling considering their …

Understanding bottlenecks in parallel programs is critical to designing more efficient and
performant multi-core architectures. Synchronization is a prime example of a potential …

Most applications have time-varying runtime phase behavior. For example, alternating
between memory-bound and compute-bound phases. Nonetheless, the predominant …

Understanding parallel program bottlenecks is critical to designing more efficient and
performant parallel architectures. Synchronization is a prime example of a potential …

Parallel programming is a skill which software engineers no longer can do without, since
multi-and many-core architectures have been widely adopted for general-purpose …

The effect of sharing the last-level cache (LLC) among cores in a multi-core system has not
been thoroughly investigated especially in the design of efficient scheduling algorithms. And …

Computer architecture is entering its second golden age. The number of servers worldwide
is estimated to be ten million. The number of mobile devices in the world now exceeds two …