The Next Generation Of Embedded FPGA


EFLX eFPGA has been in use in SoCs for more than 5 years, hardware and software. More than 40 chips have been licensed to use EFLX eFPGA and more than 20 chips are working in silicon. Big customers like Renesas are planning high volumes and families of chips using eFPGA. As we have worked with customers our architecture has evolved from EFLX Gen 1.0 to Gen 2.0, 2.1, 2.2, 2.3 and now in 2023 ... » read more

Boost Your CFD Workflow Productivity With An API: Part 1


If you're in the field of computational fluid dynamics testing or studies, you already know how much time and effort it takes to complete the tasks involved. Hours upon hours are spent on geometry clean-up, meshing, and post-processing. Furthermore, when you're dealing with similar models that have new constraints or dimensions, the work can feel tedious. But don't worry! There’s a way to sim... » read more

Embedded GPU for FPGA, Achieving Over 770 MHz Operating Frequency With Unconstrained Compile


A technical paper titled “eGPU: A 750 MHz Class Soft GPGPU for FPGA” was published by researchers at Intel Corporation and Imperial College London. Abstract: "This paper introduces the eGPU, a SIMT soft processor designed for FPGAs. Soft processors typically achieve modest operating frequencies, a fraction of the headline performance claimed by modern FPGA families, and obtain correspondi... » read more

Analog Circuits Enabling Learning in Mixed-Signal Neuromorphic SNNs, With Tristate Stability and Weight Discretization Circuits


A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at University of Zurich and ETH Zurich. Abstract: "Mixed-signal neuromorphic systems represent a promising solution for solving extreme-edge computing tasks without relying on external computing resources. Their spiking neural network circui... » read more

A Safety Island For Safe Use of HPC Devices For Safety-Critical Systems with RISC-V


A technical paper titled “Envisioning a Safety Island to Enable HPC Devices in Safety-Critical Domains” was published by researchers at Barcelona Supercomputing Center and Intel. Abstract: "HPC (High Performance Computing) devices increasingly become the only alternative to deliver the performance needed in safety-critical autonomous systems (e.g., autonomous cars, unmanned planes) du... » read more

How Band Nesting Can Achieve Near-Perfect Optical Absorption In Just Two Layers Of TMD Materials


A technical paper titled “Achieving near-perfect light absorption in atomically thin transition metal dichalcogenides through band nesting” was published by researchers at University of Minnesota, University of Notre Dame, and Korea Advanced Institute of Science and Technology (KAIST). Abstract: "Near-perfect light absorbers (NPLAs), with absorbance, λ, of at least 99%, have a wide ... » read more

Programmable HW Accelerators For BGV Fully Homomorphic Encryption In The Cloud


A technical paper titled “BASALISC: Programmable Hardware Accelerator for BGV Fully Homomorphic Encryption” was published by researchers at COSIC KU Leuven, Galois Inc., and Niobium Microsystems. Abstract: "Fully Homomorphic Encryption (FHE) allows for secure computation on encrypted data. Unfortunately, huge memory size, computational cost and bandwidth requirements limit its practic... » read more

Performance Enhancement Of An Si Photodetector By Incorporating Photon-Trapping Surface Structures


A technical paper titled “Achieving higher photoabsorption than group III-V semiconductors in ultrafast thin silicon photodetectors with integrated photon-trapping surface structures” was published by researchers at University of California Davis, W&WSens Devices Inc., and University of California Santa Cruz. Abstract: "The photosensitivity of silicon is inherently very low in the vis... » read more

New Approaches To Sensors And Sensing


Sensors are becoming more intelligent, more complex, and much more useful. They are being integrated with other sensors in sensor fusion, so a smart doorbell may only wake up when it’s imperative to see who’s at the door, and a microphone may only send alerts when there are cries for help or sounds of glass breaking. Kim Lee, senior director of system applications engineering at Infineon, t... » read more

A Survey Of Machine Learning Applications In Functional Verification


Functional verification is computationally and data-intensive by nature, making it a natural target of machine learning applications. This paper provides a comprehensive and up-to-date analysis of FV problems addressable by ML. Among the various ML techniques and algorithms, several emerging ones have demonstrated outstanding potential in FV. Yet despite the promising research results, criti... » read more

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