Semiconductor News & Analysis Feed

__fail__

__fail__

__fail__

Key Takeaways:Chiplet design turns semiconductor development into a system-level problem, requiring coordinated workflows across design, packaging, verification, test, and reliability.Successful chiplet workflows must handle multi-physics challenges — especially thermal, mechanical, power, and signal integrity — early enough to reduce costly failures before assembly and tape-out.AI is beginning to

A new technical paper, “CMOS-compatible ferroelectric tunnel junctions integrate stochastic sampling and deterministic computing for image generation,” was published by researchers at Seoul National University, Sungkyunkwan University, Hanyang University, Sogang University, and SK Hynix.Abstract“Recent progress in generative modeling has intensified the need for compact, energy-efficient hardware

__fail__

__fail__

New technical papers recently added to Semiconductor Engineering’s library:Technical PaperResearch OrganizationsSource-position-dependent transmission cross coefficient formula including polarization and mask three-dimensional effects in High NA EUV🔗Science TokyoPerformance and Energy Benefits of MRDIMMs🔗Barcelona Supercomputing Center,UPC,Micron,IntelEnergAIzer: Fast and Accurate GPU Power Estima

Submit SUBSCRIBE Chinese (Simplified) English HOME SYSTEMS & DESIGN LOW POWER - HIGH PERFORMANCE MANUFACTURING, PACKAGING & MATERIALS TEST, MEASUREMENT & ANALYTICS AUTO, SECURITY & EDGE AI SPECIAL REPORTS BUSINESS & STARTUPS JOBS KNOWLEDGE CENTER TECHNICAL PAPERS EVENTS & WEBINARS VIDEOS & RESEARCH NEWSLETTERS & STORE AUTO, SECURITY & EDGE AI SPONSOR BLOG Securing Chiplet-Based Platforms: Dist

A new technical paper, “AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving,” was published by researchers at UC San Diego, Columbia University, Yonsei University, NVIDIA, and Samsung.Abstract“All current LLM serving systems place the GPU at the center, from production-level attention-FFN disaggregation to NVIDIA’s Rubin GPU-LPU heterogeneous platform. Ev