editor's blog
Subscribe Now

Precipitating Out of the Cloud

Today we took a look at Vector Fabric’s new Pareon tool for parallelizing embedded code, and one of the things that makes it different from their prior tools is that they are no longer offering it in the cloud.

Vector Fabrics was one of the earlier tool vendors to make use of the cloud. Unlike some companies, they used the cloud as their only delivery mechanism. The entire tool GUI was a FLEX application executing in a browser.

But with Pareon, they’ve decided to revert to a more traditional delivery model (while keeping the GUI as is). And this is where you might automatically think, “Aha! See? No one wants to upload their crown jewels to the cloud!”

Well, there is still an element of that going on: some companies do indeed still have an issue with security. But the main drivers of their decision actually have nothing to do with that, and are very specific to their particular situation.

The biggest issue related to having libraries available in the cloud. It’s easy to analyze code in isolation if it doesn’t use any library calls. Not much code really works that way, however, meaning that, in addition to uploading your own program, you would need to upload libraries as well. This was a pain.

In order to minimize that, some people would isolate parts of their program for uploading to minimize their library call exposure. This was also a tough problem.

Things got even tougher when trying to support C++ because there are so many libraries. So, bringing things out of the cloud eliminates the issue entirely. It’s probably fair to say that the decision made it practical for them to claim support for C++.

The other issue that contributed was the simple fact that none of the other tools in the design environment were in the cloud. So there was this one piece of the tool chain in the cloud, outside the IDE; that can be a harder sell.

They do still see value having it in the cloud for things like training, for example, but, for mainstream use, Pareon will be executing locally, within users’ IDE.

Leave a Reply

featured blogs
Nov 15, 2024
Explore the benefits of Delta DFU (device firmware update), its impact on firmware update efficiency, and results from real ota updates in IoT devices....
Nov 13, 2024
Implementing the classic 'hand coming out of bowl' when you can see there's no one under the table is very tempting'¦...

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

STM32 Security for IoT
Today’s modern embedded systems face a range of security risks that can stem from a variety of different sources including insecure communication protocols, hardware vulnerabilities, and physical tampering. In this episode of Chalk Talk, Amelia Dalton and Thierry Crespo from STMicroelectronics explore the biggest security challenges facing embedded designers today, the benefits of the STM32 Trust platform, and why the STM32Trust TEE Secure Manager is an IoT security game changer.
Aug 20, 2024
39,810 views