The Business Case for Algorithmic Memories
Economic considerations are a primary driver in determining which technology solutions will be selected, and how they will be implemented in a company’s design environment. In the process of developing Memoir’s Algorithmic Memory technology and our Renaissance product line, we have held fast to two basic premises: Our technology and products have to work as promised, and we have to reduce the risk and total cost of development for our customers. The reality is that the entire semiconductor ecosystem needs to be approached in a new way. Gone are the days when ROI was a second or even third tier concern. Gone, also, are the days when multiple iterations of a product are not only tolerated, they are actually accepted as the norm.
To read the full article, click here
Related Semiconductor IP
- Flexible Pixel Processor Video IP
- Complex Digital Up Converter
- Bluetooth Low Energy 6.0 Digital IP
- Verification IP for Ultra Ethernet (UEC)
- MIPI SWI3S Manager Core IP
Related Blogs
- RISC-V for the Datacenter: Introducing the P870-D
- 2024 Set The Stage For NoC Interconnect Innovations In SoC Design
- Semidynamics – Customizable RISC-V Technology for the Next Five AI Revolutions
- Real-Time Intelligence for Physical AI at the Edge
Latest Blogs
- CNNs and Transformers: Decoding the Titans of AI
- How is RISC-V’s open and customizable design changing embedded systems?
- Imagination GPUs now support Vulkan 1.4 and Android 16
- From "What-If" to "What-Is": Cadence IP Validation for Silicon Platform Success
- Accelerating RTL Design with Agentic AI: A Multi-Agent LLM-Driven Approach