Comparing Thermal Properties In Molybdenum Substrate To Si And Glass For A System-On-Foil Integration (RIT, Lux)


A technical paper titled “Comparative Analysis of Thermal Properties in Molybdenum Substrate to Silicon and Glass for a System-on-Foil Integration” was published by researchers at Rochester Institute of Technology and Lux Semiconductors. Abstract: "Advanced electronics technology is moving towards smaller footprints and higher computational power. In order to achieve this, advanced packag... » read more

CAM-Based CMOS Implementation Of Reference Frames For Neuromorphic Processors (Carnegie Mellon U.)


A technical paper titled “NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors” was published by researchers at Carnegie Mellon University. Abstract: "Neuromorphic architectures mimicking biological neural networks have been proposed as a much more efficient alternative to conventional von Neumann architectures for the exploding compute demands of AI work... » read more

Physics-Based Digital Twin of a Thermally Aged Flip-Chip Package (TU Delft, NXP)


A technical paper titled “Modelling thermomechanical degradation of moulded electronic packages using physics-based digital twin” was published by researchers at Delft University of Technology and NXP Semiconductors. Abstract: "Semiconductor devices are commonly encapsulated with Epoxy-based Moulding Compounds (EMC) to form an electronic package. EMC typically occupies a large volume with... » read more

CMOS ICs for 77 GHz Automotive Radar


A new technical paper titled "CMOS IC Solutions for the 77 GHz Radar Sensor in Automotive Applications" was published by researchers at STMicroelectronics and University of Catania. Abstract "This paper presents recent results on CMOS integrated circuits for automotive radar sensor applications in the 77 GHz frequency band. It is well demonstrated that nano-scale CMOS technologies are the b... » read more

GaN Devices: Properties and Performance At Extremely High Temperatures


A new technical paper titled "High temperature stability of regrown and alloyed Ohmic contacts to AlGaN/GaN heterostructure up to 500 °C" was published by researchers at MIT, Technology Innovation Institute, Ohio State University, Rice University and Bangladesh University of Engineering and Technology. Abstract "This Letter reports the stability of regrown and alloyed Ohmic contacts to A... » read more

Scheduling Multi-Model AI Workloads On Heterogeneous MCM Accelerators (UC Irvine)


A technical paper titled “SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators” was published by researchers at University of California Irvine. Abstract: "Emerging multi-model workloads with heavy models like recent large language models significantly increased the compute and memory demands on hardware. To address such increasing demands, designin... » read more

Memory System Benchmarking, Simulation, And Application Profiling Via A Memory Stress Framework


A technical paper titled “A Mess of Memory System Benchmarking, Simulation and Application Profiling” was published by researchers at Barcelona Supercomputing Center, Unversitat Politecnica de Catalunya, and Micron Technology (Italy). Abstract: "The Memory stress (Mess) framework provides a unified view of the memory system benchmarking, simulation and application profiling. The Mess benc... » read more

A HW-Aware Scalable Exact-Attention Execution Mechanism For GPUs (Microsoft)


A technical paper titled “Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers” was published by researchers at Microsoft. Abstract: "Transformer-based models have emerged as one of the most widely used architectures for natural language processing, natural language generation, and image generation. The size of the state-of-the-art models has in... » read more

Materials And Technologies For High Temperature, Resilient Electronics


A technical paper titled “Materials for High Temperature Digital Electronics” was published by researchers at University of Pennsylvania, Air Force Research Laboratory, and Ozark Integrated Circuits. Abstract: "Silicon microelectronics, consisting of complementary metal oxide semiconductor (CMOS) technology, have changed nearly all aspects of human life from communication to transportatio... » read more

New Ways To Optimize GEMM-Based Applications Targeting Two Leading AI-Optimized FPGA Architectures


A technical paper titled “Efficient Approaches for GEMM Acceleration on Leading AI-Optimized FPGAs” was published by researchers at The University of Texas at Austin and Arizona State University. Abstract: "FPGAs are a promising platform for accelerating Deep Learning (DL) applications, due to their high performance, low power consumption, and reconfigurability. Recently, the leading FPGA... » read more

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