It is difficult to scale parallel programs in a system that employs a large number of cores. To
identify scalability bottlenecks, existing tools principally pinpoint poor thread synchronization …

Modern processors are equipped with multiple hardware prefetchers, each of which targets
a distinct level in the memory hierarchy and employs a separate prefetching algorithm …

Non-Uniform Memory Access (NUMA) architectures are widely used in mainstream multi-
socket computer systems to scale memory bandwidth. Without a NUMA-aware design …

Machine learning (ML) techniques have been widely studied to address various challenges
of productively and efficiently running large-scale scientific applications on heterogeneous …

False sharing is a notorious problem for multithreaded applications that can drastically
degrade both performance and scalability. Existing approaches can precisely identify the …

Network-on-chips (NoCs) are quickly becoming the standard communication fabric for multi-
core systems. As technology continues to scale down into the nanometer regime, device …

Contention for shared memory, in the forms of true sharing and false sharing, is a
challenging performance bug to discover and to repair. Understanding cache contention …

The field of machine programming (MP), the automation of the development of software, is
making notable research advances. This is, in part, due to the emergence of a wide range of …

Evolving requirements may necessitate API migration-re-engineering an application to
replace its dependence on one API with the dependence on another API for the same …

Shared-memory parallel programs routinely suffer from false sharing---a performance
degradation caused by different threads accessing different variables that reside on the …