Abstract Processing-in-memory (PIM) techniques have gained much attention from computer
architecture researchers, and significant research effort has been invested in exploring and …

The conventional approach of moving stored data to the CPU for computation has become a
major performance bottleneck for emerging scale-out data-intensive applications due to their …

The conventional approach of moving data to the CPU for computation has become a
significant performance bottleneck for emerging scale-out data-intensive applications due to …

The cost of moving data between the memory/storage units and the compute units is a major
contributor to the execution time and energy consumption of modern workloads in …

Simulators help computer architects optimize system designs. The limited performance of
simulators even of moderate size and detail makes the approach infeasible for design-space …

Cloud computing enables end users to execute high-performance computing applications
by renting the required computing power. This pay-for-use approach enables small …

This article presents the evaluation of multicriteria planning heuristics for demand response
in datacenters and supercomputing facilities. This is a relevant problem for science …

This article presents an empirical evaluation of power consumption for scientific computing
applications in multicore systems. Three types of applications are studied, in single and …

To reduce the capital investment required to acquire and maintain a high performance
computing cluster, today many HPC users are moving to cloud. When deploying an …

Real-world applications are now processing big-data sets, often bottlenecked by the data
movement between the compute units and the main memory. Near-memory computing …