Author's Latest Posts


Study of Compute Efficiency And Density Of 3 Photonic Computing Architectures (IBM et al.)


A new technical paper titled "A Case Study on the Performance Metrics of Integrated Photonic Computing" was published by researchers at IBM Research – Europe, University of Heidelberg and University of Münster. Abstract "Photonic processors use optical signals for computation, leveraging the high bandwidth and low loss of optical links. While many approaches have been proposed, including... » read more

Balancing Leakage Reduction with Correctness Preservation in RTL Code Generation (Univ. of Central Florida)


A new technical paper titled "CircuitGuard: Mitigating LLM Memorization in RTL Code Generation Against IP Leakage" was published by researchers at University of Central Florida. Abstract "Large Language Models (LLMs) have achieved remarkable success in generative tasks, including register-transfer level (RTL) hardware synthesis. However, their tendency to memorize training data poses critic... » read more

Algorithm–HW Co-Design Framework for Accelerating Attention in Large-Context Scenarios (Cornell)


A new technical paper titled "LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention" was published by researchers at Cornell University. Abstract "Large input context windows in transformer-based LLMs help minimize hallucinations and improve output accuracy and personalization. However, as the context window grows, the attention phase increasingly dominates... » read more

Co-Optimizing GPU Architecture And SW To Enhance Edge Inference Performance (NVIDIA)


A new technical paper titled "EdgeReasoning: Characterizing Reasoning LLM Deployment on Edge GPUs" was published by researchers at NVIDIA. Abstract "Edge intelligence paradigm is increasingly demanded by the emerging autonomous systems, such as robotics. Beyond ensuring privacy-preserving operation and resilience in connectivity-limited environments, edge deployment offers significant energ... » read more

Blend Strategy To Improve Edge Resistance Capability And Thickness Of EUV-Fabricated Nanopatterns (National Tsing Hua Univ.)


A new technical paper titled "Enhanced Edge Etching Resistance and EUV Lithographic Performance of a Tin-Oxide Photoresist via a Blend Strategy" was published by researchers at National Tsing Hua University. Abstract "Enhancing the edge resistance capability of extensively studied metal carboxylate clusters as extreme ultraviolet (EUV) photoresists is a formidable and unsolved task. This wo... » read more

Overcoming The vdW Gap Bottleneck in Semiconductor Scaling (TU Wien)


A new technical paper titled "The van der Waals Gap: a Hidden Showstopper in Semiconductor Device Scaling" was published by researchers at TU Wien. Abstract "Continued miniaturization of transistors is critical for sustaining advances in computing performance, energy efficiency, and integration density. A central nanoscale challenge is controlling gate leakage through ultrathin dielectrics.... » read more

Three-Terminal Memtransistors for Decentralized Edge Applications (Penn State, NIWC)


A new technical paper titled "Large-scale crossbar arrays based on three-terminal MoS2 memtransistors" was published by researchers at Penn State University and Naval Information Warfare Center Pacific. Abstract "Memristive crossbar architectures are promising as efficient, low-power inference engines for edge AI applications. However, inputs with minor differences often yield similar outpu... » read more

Co-Simulation Framework for Parallel DNN Execution on Chiplet-Based Systems (UW–Madison, Washington State)


A new technical paper titled "CHIPSIM: A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems" was published by researchers at University of Wisconsin–Madison and Washington State University. Abstract "Due to reduced manufacturing yields, traditional monolithic chips cannot keep up with the compute, memory, and communication demands of data-intensive applications, such as ra... » read more

Emergence Of The JJFET For Cryogenic and Quantum-Compatible Logic (Univ. of Glasgow)


A new technical paper titled "Silicon-based Josephson junction field-effect transistors enabling cryogenic logic and quantum technologies" was published by researchers at University of Glasgow. Abstract "The continuous miniaturisation of metal-oxide-semiconductor field-effect transistors (MOSFETs) from long- to short-channel architectures has advanced beyond the predictions of Moore's Law. ... » read more

MIT’s Survey On Accelerators and Processors for Inference, With Peak Performance And Power Comparisons


A new technical paper titled "Lincoln AI Computing Survey (LAICS) and Trends" was published by researchers at MIT Lincoln Laboratory Supercomputing Center. Abstract "In the past year, generative AI (GenAI) models have received a tremendous amount of attention, which in turn has increased attention to computing systems for training and inference for GenAI. Hence, an update to this survey is ... » read more

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