06 Nov 2014

Automating design for Altera SoCs

Altera has announced new programming support for its ARM-based SoCs using industry-standard workflows from MathWorks.

Release 2014b from MathWorks includes an automated, highly integrated model-based design workflow optimized for Altera SoCs.

Designers using this flow can accelerate their algorithmic designs in Altera SoCs while staying in a high-level programming environment and save weeks of development time.

“Today’s announcement is a significant extension to our partnership with Altera, enabling our customers to quickly and easily leverage the performance and system-level benefits that Altera SoCs provide,” said Ken Karnofsky, senior strategist for signal processing applications at MathWorks. “Engineers now have a highly-automated SoC workflow for modeling algorithms in MATLAB and Simulink, simulating with system test benches, partitioning into hardware and software subsystems, generating C and HDL code, and prototyping with Altera design tools and development kits.”

The highly integrated hardware/software workflow allows programmers to simulate, prototype, verify and implement algorithms that target both the FPGA and ARM processors integrated in Altera SoC FPGAs.

The design flow automatically generates the interfaces between the FPGA, the processor system and the software drivers.

Targeted support for Altera SoCs is included in two MathWorks code generation products, the HDL Coder and Embedded Coder tools.

Using a single development environment, engineers use HDL Coder to generate custom IP cores and configure the programmable logic portion of the SoC, while Embedded Coder is used to generate C/C++ code that runs on the ARM-based hard processor system.

A model-based design environment targeting Altera SoCs accelerates the design process by allowing designers to stay in a familiar design environment without requiring designers to be experienced hardware engineers.

Designers leveraging Altera SoCs can accelerate their algorithms in the FPGA portion of the device while running the rest of their design in the ARM processors. Release 2014b includes automated support for Altera’s low-cost Cyclone V SoCs, including automatic programming of Cyclone V SoC development boards.

“We are very excited about this new level of design support provided by MathWorks for our SoCs,” said Joerg Bertholdt, director of embedded software marketing at Altera. “Our SoCs are built on a solid foundation that is based on a superior architecture, industry-standard development tools and broad operating system support. The addition of a MathWorks-offered model-based design flow to our SoC ecosystem makes it much easier for designers to adopt and benefit from the performance and power savings this class of device offers.”

Most popular news in Circuit Design

Marvell opens CISPR25 automotive EMC laboratory
Firefighting robots create 3D thermal images for rescuers
RS and Allied ship 512MB Raspberry Pi boards
Researchers edge closer to large quantum computer
LabVIEW 2015 provides faster coding & operation

All news in this channel | All news


Share this page


Want more like this? Register for our newsletter






Object Recognition with 3D Time-of-Flight Cameras and Neural Networks Mark Patrick | Mouser Electronics
Object Recognition with 3D Time-of-Flight Cameras and Neural Networks
Machine vision - the ability for computers to see and recognise the world around us - is becoming more important for a variety of fields, from IoT and manufacturing through to augmented reality.









Radio-Electronics.com is operated and owned by Adrio Communications Ltd and edited by Ian Poole. All information is © Adrio Communications Ltd and may not be copied except for individual personal use. This includes copying material in whatever form into website pages. While every effort is made to ensure the accuracy of the information on Radio-Electronics.com, no liability is accepted for any consequences of using it. This site uses cookies. By using this site, these terms including the use of cookies are accepted. More explanation can be found in our Privacy Policy