Have played with most of these except the Hitachi, first processor I played with was the RCA scamp, built my first digital computer based on a Motorola 6801. Have put a lot of products in the field with 8048, 8051, 6800 and PIC based circuits. A basic slurpie machine has a 6811, and up to 5 PICs just to give you a frozen beverage.
Great material to show the shift from 8-Bit to 32-Bit in Today's Microcontroller worls, and the best part is with Today's process technologies the cost of a small entrey Level 32 Bit Micro is the same if not even lower than an 8 Bit Micro.
I have worked with some of there processsors, primarily as a graduate teaching assistant. I taught laboratories using the 8085, which was a new device at the time, and also used the 6800 a little bit. As an undergraduate I remember entering programs into an 8080 system with toggle switches. And don't forget the 6502!
I wonder if the idea is for hardware mftrs just to team up with a C/C+ or Java compiler outfit and bring out a toolchain and performance metrics and we just base our decision on the cost/metrics (and don't care anymore whether is is a dual-core chip, FPGA uCs chip or ultrafast 2-bit RISC micro, whatever).
Are you covering the architecure level info of CORTEX MO processor in upcoming letcures? Curious to know on the transistor level design practice of the architecure like static core with dynamic logic core
@jl: I think the real significance is that the C compiler will generate instruction sequences similar to what is being presented, so that two processors at identical clock speeds take hugely different times to do the exact same line of C source code, even after the compiler does every clever thing it can to optimize.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.