Provider
Cadence Design Systems, Inc.
HQ:
USA
If you want to achieve silicon success, let Cadence help you choose the right IP solution and capture its full value in your SoC design. Cadence® IP solutions offer the combined advantages of a high-quality portfolio, an open platform, a modern IP factory approach to quality, and a strong ecosystem.
Now you can tackle IP-to-SoC development in a system context, focus your internal effort on differentiation, and leverage multi-function cores to do more, faster.
The Cadence IP Portfolio includes silicon-proven Tensilica® IP cores, analog PHY interfaces, standards-based IP cores, verification IP cores, and other solutions as well as customization services for current and emerging industry standards. The Cadence IP Factory provides you with an automated approach to the customization, delivery, and verification of SoC IP. As a result, you can spend more time on differentiation, with the assurance that you'll meet your performance, power, and area requirements.
Choosing Cadence IP enables you to design with confidence because you have more freedom to innovate your SoCs with less risk and faster time to market.
Learn more about Custom IP core
The growing adoption of RISC-V in high-performance and scientific computing has increased the need for performance-portable code targeting the RISC-V Vector (RVV) extension. However, current compiler infrastructures provide limited end-to-end support for generating optimized RVV code from high-level representations to low-level implementations. In particular, existing MLIR distributions lack practical lowering paths that map high-level abstractions to RVV intrinsics, limiting their applicability for production-ready RISC-V kernels. This paper presents a compilation approach that combines MLIR with xDSL to bridge the missing lowering stages required for RVV code generation.
As AI workloads scale exponentially, bandwidth has become the new bottleneck. This article explores how Celestial AI’s Photonic Fabric™ redefines interconnect performance, and how Sofics’ low-cap ESD and power clamp IP enabled its integration on TSMC’s 5nm platform.
See how Codasip Studio enables SYCLOPS to implement a customizable RISC-V Vector processor, accelerating the future of open-source, high-performance AI compute at the Edge.
The era of universal processor architectures is giving way to workload-specific designs optimized for performance, power, and scalability. As data-centric applications in artificial intelligence (AI), edge computing, automotive, and industrial markets continue to expand, they are driving a fundamental shift in processor design.
The authors introduce a HW/SW co-design toolset capable of adapting to a user-defined architecture description that captures the instruction set extension semantics.
When designing complex Systems-on-Chip, software teams should be involved early in the process. This will help identify architectural bottlenecks, validate system behavior, and accelerate the entire project timeline. In this process, processor simulation models play a crucial role.
