Singh, Amit Kumar

Design Space Exploration and Resource Management of Multi/Many-Core Systems - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (218 p.)

Open Access

The increasing demand of processing a higher number of applications and related data on computing platforms has resulted in reliance on multi-/many-core chips as they facilitate parallel processing. However, there is a desire for these platforms to be energy-efficient and reliable, and they need to perform secure computations for the interest of the whole community. This book provides perspectives on the aforementioned aspects from leading researchers in terms of state-of-the-art contributions and upcoming trends.


Creative Commons


English

books978-3-0365-0877-1 9783036508764 9783036508771

10.3390/books978-3-0365-0877-1 doi


Technology: general issues

embedded computer systems cyber security system-level design and design-space exploration multi-objective optimization system trade-offs energy-efficient computing run-time management machine learning concurrent workloads multi-core systems processing-in-memory near-memory processing resource management code annotation compiler optimizations online heuristics energy efficiency 3D-stacked memories non-volatile memories peak-power management many-core directed acyclic task graphs high performance computing data centers resource allocation profit energy consumption reinforcement learning server consolidation RF NoC OFDMA simulator routing reconfigurable Hybrid Application Mapping (HAM) many-core systems embedded systems composability design space exploration (DSE) Network-on-Chip (NoC) real-time guarantees predictability multi/many-core platforms reliability mixed-criticality