industry news
Subscribe Now

CAST Simplifies PCI Express FPGA Integration with Application-Level Interface Core

March 25, 2011, Woodcliff Lake, NJ — Semiconductor intellectual property (IP) provider CAST, Inc. has released an IP core that makes it easier to integrate PCI Express in an FPGA-based system.

The new PCIEXPAIF IP Core provides a high-level interface between popular system buses like AMBA® AXI4 and the PCI Express hard macro blocks available from FPGA vendors Altera and Xilinx. The core includes an extensible DMA and other functions to encode and decode Transaction Layer Packets, relieving the designer from directly managing this lower-level activity and enabling an application-level focus.

The interface core supports the 32- and 64-bit versions of the open source Wishbone Bus and the AMBA® AHB™, AXI™ and AXI4 buses. The Altera version is compatible with Altera Cyclone® IV GX, Arria® II GX, Stratix® IV GX, and Stratix V GX devices. The Xilinx version is compatible with Virtex®-5, Virtex-6 and Spartan®-6 devices. Support for additional buses, vendors, or device families is available on request.

Learn more about the PCIEXPAIF core and see sample implementation results at the CAST website: http://www.cast-inc.com/ip-cores/pci-express/pciexpaif/index.html

About CAST, Inc.

CAST, Inc. is a privately held company that enables quicker, less expensive electronic system on chip (SoC) realization through semiconductor IP products and supporting services. The company features advanced image/video processing and microcontroller IP families, plus the memory controllers, high-speed buses, peripherals, and other functions needed to build complete systems. Many of these are available pre-integrated in the form of Processor and Application Platforms. CAST overall strives to give customers a better IP experience through proven IP products; rapid, effective support; and reduced risk due to 17 years in the IP industry. Learn more atwww.cast-inc.com

Leave a Reply

featured blogs
Nov 12, 2024
The release of Matter 1.4 brings feature updates like long idle time, Matter-certified HRAP devices, improved ecosystem support, and new Matter device types....
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

Machine Learning on the Edge
Sponsored by Mouser Electronics and Infineon
Edge machine learning is a great way to allow embedded devices to run applications that can collect sensor data and locally process that data. In this episode of Chalk Talk, Amelia Dalton and Clark Jarvis from Infineon explore how the IMAGIMOB Studio, ModusToolbox™ Software, and PSoC and AURIX™ microcontrollers can help you develop a custom machine learning on the edge application from scratch. They also investigate how the IMAGIMOB Studio can help you easily develop and deploy AI/ML models and the benefits that the PSoC™ 6 Artificial Intelligence Evaluation Kit will bring to your next machine learning on the edge application design process.
Aug 12, 2024
56,181 views