sureCore announces technology for in-memory computing
Key to creating power efficient AI processing for Edge solutions
Sheffield, England -- February 8, 2022 -- sureCore, the ultra-low power, embedded memory specialists, has announced its new technology for in-memory computing called CompuRAM™. This will enable solutions for computing at the Edge to be more power efficient. At present, sensor data often has to be sent from an IoT device to a server for processing, which creates a connectivity requirement and an unavoidable latency. For time critical applications this is not acceptable and so there is a drive to do more computation within the device itself, i.e., AI processing at the Edge. Power is a significant design constraint in IoT devices, and so any extra AI-related computation must be done in a power-efficient way. sureCore’s existing low-power memory solutions already provide a way to add the significant extra memory needed by AI applications without dramatically increasing power requirements. In-memory computing provides further power savings by reducing the need to move large amounts of data around within a chip, as the initial processing of data is carried out very close to the memory array itself.
Tony Stansfield, sureCore’s CTO, explained: “Our intimate knowledge of memory technology means that we have been able to create a solution for the next technology demand of integrating arithmetic operations within the memory. It is another example of us seeing what the industry will require in the near future and developing a solution that will be ready when the need for AI at the Edge becomes mainstream. Cutting power consumption is what we do as we have proven with our existing technologies, such as our EverOn™ and PowerMiser™ SRAM families that enable near threshold operation and 50% dynamic power cuts respectively. Our solutions are all designed to making it possible to create products for the next generations of ultra-low power applications that could not exist without their power reducing techniques.”
In the same way that on-chip memory is better, faster and more power efficient than transporting data back and forth to off-chip memory, integrating memory and compute capability offers even more significant power saving benefits. sureCore’s in-memory compute technology achieves this integration by embedding arithmetic capability deep within the memory array in a way that is compatible with its existing silicon-proven, low-power memory design.
sureCore™ -- When low power is paramount™
sureCore, the ultra-low power, embedded memory specialist, is the low-power innovator who empowers the IC design community to meet aggressive power budgets through a portfolio of ultra-low power memory design services and standard IP products. sureCore’s low-power engineering methodologies and design flows meet the most exacting memory requirements with a comprehensive product and design services portfolio that create clear market differentiation for customers. The company’s low-power product line encompasses a range of close to near-threshold, silicon proven, process-independent SRAM IP.
|
Related News
- sureCore now licensing its CryoMem range of IP for Quantum Computing
- Semiwise, sureCore, and Cadence Showcase Breakthrough in Cryogenic CMOS Circuit Development for Quantum Computing and Energy-Efficient Data Centers
- Siemens collaborates with sureCore and Semiwise to pioneer quantum computing ready cryogenic semiconductor designs
- Andes Technology and TetraMem Collaborate to Build Groundbreaking AI Accelerator Chip with Analog In-Memory Computing
- sureCore-led consortium wins £6.5M Innovate UK grant to develop cryogenic CMOS IP to accelerate Quantum Computing scalability
Breaking News
- Breker RISC-V SystemVIP Deployed across 15 Commercial RISC-V Projects for Advanced Core and SoC Verification
- Veriest Solutions Strengthens North American Presence at DVCon US 2025
- Intel in advanced talks to sell Altera to Silverlake
- Logic Fruit Technologies to Showcase Innovations at Embedded World Europe 2025
- S2C Teams Up with Arm, Xylon, and ZC Technology to Drive Software-Defined Vehicle Evolution
Most Popular
- Intel in advanced talks to sell Altera to Silverlake
- Arteris Revolutionizes Semiconductor Design with FlexGen - Smart Network-on-Chip IP Delivering Unprecedented Productivity Improvements and Quality of Results
- RaiderChip NPU for LLM at the Edge supports DeepSeek-R1 reasoning models
- YorChip announces Low latency 100G ULTRA Ethernet ready MAC/PCS IP for Edge AI
- AccelerComm® announces 5G NR NTN Physical Layer Solution that delivers over 6Gbps, 128 beams and 4,096 user connections per chipset
![]() |
E-mail This Article | ![]() |
![]() |
Printer-Friendly Page |