Samad Parekh

(all posts)
Samad Parekh is a senior product manager in the Circuit Design and TCAD Solutions Group at Synopsys.

Author's Latest Posts

Successful Design Of Power Management Chips

By Samad Parekh - 26 Nov, 2024 - Comments: 0

With an industry as large as semiconductors, there are often surprises lurking in some of the more specialized product categories. Everyone knows that huge chips such as CPUs and GPUs command high prices and that memory chips are ubiquitous. However, the domain of power management integrated circuits (PMICs) is less well known to many observers. PMICs are impressive in terms of their technol... » read more

Design Challenges Of High-Speed Wireline Transmitters

By Samad Parekh - 27 Apr, 2023 - Comments: 0

By Samad Parekh and Noman Hai The need for higher bandwidth networking equipment as well as connectivity in the cloud and hyperscale data centers is driving the switch technology transition from 25T (terabytes) to 50T and soon to 100T. The industry has chosen Ethernet to drive the switch market, using 112G SerDes technology today and next generation architectures being designed to operate at... » read more

Accelerating Circuit Simulation 10x With GPUs

By Samad Parekh - 10 Mar, 2022 - Comments: 0

By Samad Parekh (Synopsys) and Srinivas Kodiyalam (NVIDIA) Many aspects of semiconductor design and verification have an ever-growing “need for speed” that has outpaced the performance improvements available by running on CPUs. Electronic design automation (EDA) companies have responded by creating smarter software algorithms to improve simulation time, sometimes at the expense of relaxe... » read more

Heterogeneous Computing Model Delivers Order-Of-Magnitude Performance Breakthrough

By Samad Parekh - 22 Apr, 2021 - Comments: 0

By Srinivas Kodiyalam (NVIDIA) and Samad Parekh (Synopsys) With the ever-increasing demand for more computing performance, the HPC industry is moving towards a heterogeneous computing model, where GPUs and CPUs work together to perform general-purpose computing tasks. In this heterogeneous computing model, the GPU serves as an accelerator to the CPU, to offload the CPU and to increase comput... » read more