category: Low Power-High Performance

category: IoT, Security & Automotive

Fluid Kinematics Using Ansys Fluent
By Ansys - 14 Feb, 2024 - Comments: 0

This teaching package covers fluid kinematics topics. It includes description of fluid motion, introducing different co-ordinate systems used to mathematically calculate fluid flow behaviors and demonstrating different flow visualization and flow measurement techniques used in experimental methods and numerical simulations. Ansys Fluent has been utilized visualize these concepts. Click here ... » read more

Early Architecture Performance And Power Analysis Of Multi-Die Systems
By Synopsys - 14 Feb, 2024 - Comments: 0

A multi-die system is a semiconductor device in which multiple homogeneous or heterogeneous dies are contained within a single package. Multi-die systems have been available for select uses for years, but they are gaining wider popularity and are expected to be used in a wide variety of end applications, including high-performance computing, automotive, and mobile. There are two main factors dr... » read more

Sigrity X — Redefining Signal And Power Integrity
By Cadence - 14 Feb, 2024 - Comments: 0

This white paper highlights the features in Cadence Sigrity X signal and power integrity (SI/PI) solutions for system-level SI and PI analysis that enable designers to cut the number of design respins and meet short time-to-market windows with confidence. Click here to read more. » read more

Private Delegated Computations Using Strong Isolation
By Arm - 14 Feb, 2024 - Comments: 0

Computations are now routinely delegated to third-parties. In response, Confidential Computing technologies are being added to microprocessors offering a trusted execution environment (TEE) that provides confidentiality and integrity guarantees to code and data hosted within—even in the face of a privileged attacker. TEEs, along with an attestation protocol, permit remote third-parties to est... » read more

Research Bits: Feb. 13
By Jesse Allen - 13 Feb, 2024 - Comments: 0

Fast phase-change memory Researchers from Stanford University, TSMC, National Institute of Standards and Technology (NIST), and University of Maryland developed a new phase-change memory for future AI and data-centric systems. It is based on GST467, an alloy of four parts germanium, six parts antimony, and seven parts tellurium, which is sandwiched between several other nanometer-thin material... » read more

Research Bits: Feb. 6
By Jesse Allen - 06 Feb, 2024 - Comments: 0

Laser printer for photonic circuits Researchers from the University of Washington and University of Maryland propose a faster, cheaper way to fabricate and reconfigure photonic integrated circuits. The method uses a laser writer to write, erase, and modify circuits into a thin film of phase-change material similar to what is used for recordable CDs and DVDs. The researcher say the method co... » read more

Research Bits: Jan. 30
By Jesse Allen - 30 Jan, 2024 - Comments: 0

Etching tellurite glass Physicists from EPFL and Tokyo Tech propose a way to create photoconductive circuits, where the circuit is directly patterned onto a tellurite glass surface with femtosecond laser light. The exposure formed nanoscale tellurium and tellurium oxide crystals, both semiconducting materials. “Tellurium being semiconducting, based on this finding we wondered if it would ... » read more

Research Bits: Jan. 23
By Jesse Allen - 23 Jan, 2024 - Comments: 0

Memristor-based Bayesian neural network Researchers from CEA-Leti, CEA-List, and CNRS built a complete memristor-based Bayesian neural network implementation for classifying types of arrhythmia recordings with precise aleatoric and epistemic uncertainty. While Bayesian neural networks are useful for at sensory processing applications based on a small amount of noisy input data because they ... » read more

Rethinking Memory
By Karen Heyman - 22 Jan, 2024 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to talk about the path forward for memory in increasingly heterogeneous systems, with Frank Ferro, group director, product management at Cadence; Steven Woo, fellow and distinguished inventor at Rambus; Jongsin Yun, memory technologist at Siemens EDA; Randy White, memory solutions program manager at Keysight; and Frank Schirrmeister, vice... » read more

Research Bits: Jan. 16
By Jesse Allen - 16 Jan, 2024 - Comments: 0

3D stacking of 2D materials Researchers from Penn State University demonstrated monolithic 3D integration with 2D transistors made from 2D semiconductors called transition metal dichalcogenides. The 2D materials have unique electronic and optical properties, including sensitivity to light, making them ideal for use as sensors. “One challenge is the process temperature ceiling of 450 degre... » read more

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