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 them. The... » read more The post Electrochemical Absorption of Hydrogen in Structured Palladium Th...| Semiconductor Engineering
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 hierarchies. To... » read more The post LLM-Based Chiplet Design Generation Framework (Univ. of Minneso...| Semiconductor Engineering
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 reduces some... » read more The post Dynamic KV Cache Scheduling in Heterogeneous Memory Systems for...| Semiconductor Engineering
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 synchronous... » read more The post Power Stabilization To Allow Continued Scaling Of AI Training Workloa...| Semiconductor Engineering
Arm launches its next-generation big core, the Cortex-A725| WikiChip Fuse
Arm unveils its 2024 Compute Platform: 3nm, Cortex-X925, Cortex-A725, Immortalis-G925| WikiChip Fuse
Arm launches its next-generation flagship processor, the Cortex-X925, formerly Blackhawk.| WikiChip Fuse
Arm Introduces Its Newest Flagship Performance Core, The Cortex-X4| WikiChip Fuse
Arm Launches The Cortex-A520, Next-Gen Efficiency Little Core| WikiChip Fuse
Arm Introduces A New Big Core, The Cortex-A720| WikiChip Fuse