Blog Review: April 4

Upstream, downstream; 3D ICs; channel characterization; saving power in fabs.


Synopsys’ Richard Solomon explains PCIe’s upstream and downstream component naming and why understanding the perspective is key.

Mentor’s Cristian Filip dives into frequency domain analysis for high data rate SerDes links and the movement toward a simpler way of channel characterization.

Cadence’s Paul McLellan takes a look at the history of the RISC processors and the death of microcode as Dave Patterson and John Hennessy receive the 2018 Turing Award.

Arm’s Greg Yeric takes a look at the current state of 3D ICs and how they developed in a short time from 2.5D interposers and stacked DRAM to providing significant cost and performance advantages.

Rambus’ Aharon Etengoff contends that blockchain applications are expanding to include identification and security measures for IoT devices.

SEMI’s James Amano notes that electricity can account for up to 30% of a fab’s operating costs, but newly defined idle modes can help reduce that and save power.

Silicon Mobility’s Khaled Douzane introduces Field Programmable Control Units and how they can increase the range of electric and hybrid vehicles.

Lam Research’s Elizabeth Pavel points to ways Formula One teams are incorporating technologies like big data and 3D printing into motorsports.

Nvidia’s Jamie Beckett checks out the role GPUs play in the upcoming E-ELT, soon to be the world’s largest telescope.

In a video, Mentor’s Colin Walls explains reference parameters in C/C++ and how they can reduce errors with pointer manipulation, but perhaps at the cost of code readability.

Synopsys’ Amit Gound discusses the ‘ADAPT’ feature in MIPI M-PHY 4.1 and how it provides more control and safety measures at high speed.

Cadence’s Meera Collier explains why digital twins are such a big deal and what the concept means for verification.

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