Author's Latest Posts


Heterogeneous Multi-Core Architecture Optimizing Power Consumption (TU Dresden)


A new technical paper titled "Balancing Power and Performance With Task Dependencies in Multi-Core Systems" was published by researchers at TU Dresden. Abstract "The increasing use of FPGAs necessitates energy-efficient solutions, particularly for battery-powered applications. Although power dissipation is often perceived as a hardware issue, it can be mitigated through power-saving techniq... » read more

Tools, Models and System Support for PIM Architectures, With DRAM-Focus (ETH Zurich)


A new technical paper titled "New Tools, Programming Models, and System Support for Processing-in-Memory Architectures" was published by researchers at ETH Zurich. Abstract "Our goal in this dissertation is to provide tools, programming models, and system support for PIM architectures (with a focus on DRAM-based solutions), to ease the adoption of PIM in current and future systems. To this ... » read more

Wafer-Scale Heterogeneous Integration of Lithium Tantalate Films on Low-Loss Silicon Nitride Photonic ICs (EPFL, KIT, CAS, IPQ)


A new technical paper titled "Heterogeneously integrated lithium tantalate-on-silicon nitride modulators for high-speed communications" was published by researchers at EPFL, Chinese Academy of Sciences, IPQ and KIT. Abstract "Driven by the prospects of higher bandwidths for optical interconnects, integrated modulators involving materials beyond those available in silicon manufacturing incre... » read more

Cross-Node Scaling Potential of SOT-MRAM for Last-Level Caches (imec)


A new technical paper titled "SOT-MRAM Bitcell Scaling with BEOL Read Selectors: A DTCO Study" was published by researchers at imec, Leuven, and 3001 Belgium. Abstract "This work explores the cross-node scaling potential of SOT-MRAM for last-level caches (LLCs) under heterogeneous system scaling paradigm. We perform extensive Design-Technology Co-Optimization (DTCO) exercises to evaluate th... » read more

Operational Cybersecurity and Supply Chain Risks Across the AI Lifecycle (Sandia National Labs)


A new technical paper titled "Surveying the Operational Cybersecurity and Supply Chain Threat Landscape when Developing and Deploying AI Systems" was published by researchers at Sandia National Labs. Abstract "The rise of AI has transformed the software and hardware landscape, enabling powerful capabilities through specialized infrastructures, large-scale data storage, and advanced hardware... » read more

2025 Critical Hardware Weaknesses (Hardware CWE Special Interest Group)


A new technical paper titled "2025 Most Important Hardware Weaknesses" was published by researchers at Hardware CWE Special Interest Group. Excerpt "The Most Important Hardware Weaknesses (MIHW) empowers organizations with the knowledge to proactively strengthen hardware security and reduce risks at the source. The 2025 CWE MIHW represents a refreshed and enhanced effort to identify and edu... » read more

Electrochemical Absorption of Hydrogen in Structured Palladium Thin-Film Electrodes (Univ. of Bristol)


A new technical paper titled "Exploring Electrochemical Methods for Precision Stress Control in Nanoscale Devices " was published by researchers at the University of Bristol. Abstract "Tuning the local film stress (and associated strain) provides a universal route toward exerting dynamic control on propagating fields in nanoscale geometries and engineering controlled interactions between th... » read more

LLM-Based Chiplet Design Generation Framework (Univ. of Minnesota)


A new technical paper titled "MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging" was published by researchers at the University of Minnesota - Twin Cities. Abstract "As program workloads (e.g., AI) increase in size and algorithmic complexity, the primary challenge lies in their high dimensionality, encompassing computing cores, array sizes, and memory hierarch... » read more

Dynamic KV Cache Scheduling in Heterogeneous Memory Systems for LLM Inference (Rensselaer Polytechnic Institute, IBM)


A new technical paper titled "Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System" was published by researchers at Rensselaer Polytechnic Institute and IBM. Abstract "Large Language Model (LLM) inference is increasingly constrained by memory bandwidth, with frequent access to the key-value (KV) cache dominating data movement. While attention sparsity red... » read more

Power Stabilization To Allow Continued Scaling Of AI Training Workloads (Microsoft, OpenAI, NVIDIA)


A new technical paper titled "Power Stabilization for AI Training Datacenters" was published by researchers at Microsoft, OpenAI, and NVIDIA. Abstract "Large Artificial Intelligence (AI) training workloads spanning several tens of thousands of GPUs present unique power management challenges. These arise due to the high variability in power consumption during the training. Given the synchron... » read more

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