Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …

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 …

Over the last three decades, innovations in the memory subsystem were primarily targeted at
overcoming the data movement bottleneck. In this paper, we focus on a specific market trend …

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 …

Over the last three decades, innovations in the memory subsystem were primarily targeted at
overcoming the data movement bottleneck. In this paper, we focus on a specific market trend …

Near-memory Computing (NMC) promises improved performance for the applications that
can exploit the features of emerging memory technologies such as 3D-stacked memory …

Modern radio telescopes like the Square Kilometer Array (SKA) will need to process in real-
time exabytes of radio-astronomical signals to construct a high-resolution map of the sky …

Modern big-data workloads have demanding performance requirements. This leads to
compute and memory bottlenecks. These applications comprise, among others, radio …