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 …

Current high-performance multicore processors provide users with a non-uniform memory
access model (NUMA). These systems perform better when threads access data on memory …

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

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 …

This paper proposes PredG, a Machine Learning framework to enhance the graph
processing performance by finding the ideal thread and data map** on NUMA systems …

The execution of large real-world graphs, such as web searches and social networks, has
been boosting by modern HPC systems. However, their irregular communication patterns …

NUMA systems have become commonly used in HPC. However, to fully take advantage of
these systems, the right thread-to-core allocation and page placement are essential. On top …

In current computer architectures, the communication performance between threads varies
depending on the memory hierarchy. This performance difference must be considered when …