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

In MPI, collective routines MPI_Alltoall and MPI_Alltoallv play an important role in facilitating
all-to-all inter-process data exchange. MPI_Alltoallv is a generalization of MPI_Alltoall …

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 …

Multi-core shared memory architectures are ubiquitous in both High-Performance
Computing (HPC) and commodity systems because they provide an excellent trade-off …

High-performance computing (HPC) systems keep growing in scale and heterogeneity to
satisfy the increasing computational need, and this brings new challenges to the design of …

Parallel Discrete Event Simulation (PDES) can substantially improve the performance and
capacity of simulation, allowing the study of larger, more detailed models, in less time. PDES …

With the tremendous popularity gained by container technology, many applications are
being containerized: splitting into numerous containers connected by networks. However …

Multi-/many-core CPU based architectures are seeing widespread adoption due to their
unprecedented compute performance in a small power envelope. With the increasingly …

State-of-the-art designs for the hierarchical reduction collective operation in MPI that work on
the concept of distributed address spaces incur the cost of intermediate copies inside the …

Message Passing Interface (MPI) programs often experience performance slowdowns due
to collective communication operations, like broadcasting and reductions. As modern CPUs …