MIPS 64-bit Multi-Threaded Processor Drives AI’s Explosive Growth

Wave Computing (Wave), Mobileye Vision Technologies Ltd (Mobileye), NetSpeed Systems, Inc. (NetSpeed), Fungible, Inc., ThinCI, Inc. (ThinCl), and Denso group company NSITEXE(NSITEXE), among others, leverage MIPS 64-bit processor core with Multi-Threading in AI applications.

MIPS, provider of the widely used MIPS processor architecture and IP cores, announced that its 64-bit hardware Multi-Threaded processor core is being widely embraced by leading tech-nology companies as they develop Artificial Intelligence (AI) solutions. Most recently, Wave Computing® adopted the MIPS core for use in its next-generation of deep learning solutions to handle device management and control functions, including real-time operating system (RTOS) and system-on-chip (SoC) subsystem. The embedded MIPS core will enhance Wave’s innovative dataflow technology, which enables fast and efficient processing of neural network graphs.

“MIPS is the established leader in the world of 64-bit embedded cores and consistently delivers leading-edge solutions that drive pioneering products. Today, our core is at the heart of some of the world’s most innovative designs that are fueling the explosive growth of AI,” said David Lau, MIPS’ Vice President of Engineering. “Our hardware Multi-Threading technologies set us apart from others, and the efficiency and extensibility of our processor architecture is well suited to deep learning and AI. While focusing on our core competencies, we are committed to propelling the development of emerging intelligent applications.”

Derek Meyer, CEO of Wave Computing, commented, “The MIPS processor’s 64-bit architecture will enable us to further support the memory address range needed for next-generation AI appli-cations, while its Multi-Threading capabilities enables faster real-time and more efficient task man-agement of our dataflow software agents. In addition, the MIPS ecosystem and development tool environments are well suited for rapidly growing applications like AI.”

As design complexity and software footprints continue to increase, the 64-bit MIPS architecture is being used in an even broader set of datacenter, connected consumer devices, networking products, and emerging AI applications. In addition to Wave, companies including Mobileye, Fungible, ThinCI, and DENSO, among others, are using the MIPS 64-bit processor core as they de-velop ground-breaking AI applications.

“MIPS was created by the pioneers of CPU architecture and the impact it had on creating various industries in Silicon Valley from gaming to enterprise networking to autonomous driving has been huge,” said Sundari Mitra, CEO of NetSpeed. “The underlying multithreading architecture and ele-gancy of it makes it an ideal choice for some of the next generation applications like machine learning and AI. I am confident that under the new leadership of Dado Banatao, MIPS will grow into greater heights. NetSpeed is looking forward to being an active partner in this movement.”
The MIPS64 architecture continues to be used in a variety of applications from ADAS, and set-top boxes to networking and telecommunications infrastructure applications. It provides a solid high-performance foundation for future MIPS processor-based development by incorporating powerful features, hardware virtualization capabilities, standardizing privileged mode instructions, support-ing past ISAs, and providing a seamless upgrade path from the MIPS32 architecture.

“Our collaboration with MIPS has played a significant role in numerous generations of Mobileye's EyeQ® SoCs for autonomous driving systems helped us achieving consistently best in class performance efficiency. In EyeQ5, Mobileye leverages the latest high-performance, highly efficient 64bit heterogeneous compute clusters of multi-threaded multi-core MIPS CPUs,” said El-chanan Rushinek, Vice President, Engineering at Mobileye. “The I6500-F Core from MIPS has helped us to achieve new level of performance, opening our platform and meeting our un-compromised functional safety goals.”

“It's exciting for the industry to see MIPS writing the next chapter in their storied history, and we are pleased that they have placed special emphasis on machine learning,” said Dinakar Munagala, CEO of ThinCI. “The computational workloads in deep learning are placing new demands on es-tablished computing architectures, and MIPS has important technology in the areas of real-time processing and multithreading. We look forward to explore collaborating with MIPS on their new solutions for heterogeneous computing and coherent architectures.”

Last August, Denso group company NSITEXE, Inc. announced that it licensed the newest MIPS CPU to drive enhanced in-vehicle electronic processing. Hideki Sugimoto, NSITEXE, Inc. CTO, was quoted as saying, “We’re excited to explore the highly differentiated technologies built in to its MIPS processors which we believe can have a significant positive impact on the performance, efficiency, and reliability of next-generation in-vehicle electronics. We are undertaking this project with the goal of accelerating industry innovation around enhanced processing for automotive systems.”

“Modern scale-out workloads for analytics, machine learning, and other big data applications are inherently network heavy,” said Pradeep Sindhu, CEO of Fungible. “The MIPS Simultaneous Multi-Threading architecture is an important technique to ensure that such workloads run efficient-ly as measured by the CPU’s instructions per clock, or IPC. We have seen that this efficiency trans-lates directly into a smaller area as well as lower power for silicon implementations based on MIPS.”