Shared memory architectures have recently experienced a large increase in thread-level
parallelism, leading to complex memory hierarchies with multiple cache memory levels and …

The parallelism in shared-memory systems has increased significantly with the advent and
evolution of multicore processors. Current systems include several multicore and …

One of the main challenges for parallel architectures is the increasing complexity of the
memory hierarchy, which consists of several levels of private and shared caches, as well as …

Dynamic task-parallel programming models are popular on shared-memory systems,
promising enhanced scalability, load balancing and locality. Yet these promises are …

In parallel programs, the tasks of a given application must cooperate in order to accomplish
the required computation. However, the communication time between the tasks may be …

In parallel architectures that have a Non-Uniform Memory Access (NUMA) behavior, the
mapping of memory pages to NUMA nodes influences the performance of parallel …

Multi-core compute nodes with non-uniform memory access (NUMA) are now a common
architecture in the assembly of large-scale parallel machines. On these machines, in …

Reducing the cost of memory accesses, both in terms of performance and energy
consumption, is a major challenge in shared-memory architectures. Modern systems have …

Driven by the development of new technologies such as personal assistants or autonomous
cars, machine learning has rapidly become one of the most active fields in computer …

The performance and energy efficiency of modern architectures depend on memory locality,
which can be improved by thread and data mappings considering the memory access …