Challenges in Full Chip Optimization
摘要
This chapter discusses a lot of practices that can help minimise, if not remove all the challenges in full chip optimizations. This chapter talks about techniques Which can help a multi objective redundancy hardening task with efficient mapping for independent task on multiple cores. Chapter also walks through Methods of a multi objective learning automation, Techniques that can assistant floor planning and design optimal routing in VLSI circuits using particle swarm optimization, Floor planning of 3D IC design using hybrid optimiser. A novel hybrid method of a chimp Yes. with cuckoo search algorithm for optimal designing of infinite impulse response Filter using high level synthesis. Chapter elaborates on FPGA based hardware accelerator design, also a low-cost BIST design supporting automated testing of fabricated chips. These techniques can help increase efficiency and minimise challenges faced during full chip optimization.