Generative large language model (LLM) applications are growing rapidly, leading to large-
scale deployments of expensive and power-hungry GPUs. Our characterization of LLM …

To meet the needs of a diverse range of workloads, asymmetric multicore processors
(AMPs) have been proposed, which feature cores of different microarchitecture or ISAs …

Single-ISA heterogeneous multi-core processors are typically composed of small (eg, in-
order) power-efficient cores and big (eg, out-of-order) high-performance cores. The …

This book is the first ever to focus on the emerging field of self-aware computing from an
engineering perspective. It first comprehensively introduces fundamentals for self …

With the ever-increasing data processing capabilities of edge computing devices and the
growing acceptance of running social sensing applications on such cloud-edge systems …

Shared last-level caches, widely used in chip-multi-processors (CMPs), face two
fundamental limitations. First, the latency and energy of shared caches degrade as the …

Single-ISA heterogeneous multi-cores consisting of small (eg, in-order) and big (eg, out-of-
order) cores dramatically improve energy-and power-efficiency by scheduling workloads on …

Heterogeneous multi-core platforms that contain different types of cores, organized as
clusters, are emerging, eg, ARM's big. LITTLE architecture. These platforms often need to …

Heterogeneous multi-cores that integrate cores with different power performance
characteristics are promising alternatives to homogeneous systems in energy-and thermally …

Processing large scientific applications generates a huge amount of data, which makes
running experiments in the cloud computing environment very expensive and energy …