As general-purpose processors have hit the power wall and chip fabrication cost escalates
alarmingly, coarse-grained reconfigurable architectures (CGRAs) are attracting increasing …

Package-level integration using multi-chip-modules (MCMs) is a promising approach for
building large-scale systems. Compared to a large monolithic die, an MCM combines many …

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 …

Processing-In-Memory (PIM) is an effective technique that reduces data movements by
integrating processing units within memory. The recent advance of “big data” and 3D …

The use of increasingly larger and more complex neural networks (NNs) makes it critical to
scale the capabilities and efficiency of NN accelerators. Tiled architectures provide an …

Processing-In-Memory (PIM) architectures based on recent technology advances (eg,
Hybrid Memory Cube) demonstrate great potential for graph processing. However, existing …

Ongoing climate change calls for fast and accurate weather and climate modeling. However,
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …

Cache partitioning is now available in commercial hardware. In theory, software can
leverage cache partitioning to use the last-level cache better and improve performance. In …

Far memory, where memory accesses are non-local, has become more popular in recent
years as a solution to expand memory size and avoid memory stranding. Prior far memory …

Global checkpointing to external storage (eg, a parallel file system) is a common I/O pattern
of many HPC applications. However, given the limited I/O throughput of external storage …