Chip Industry Technical Paper Roundup: Jun. 2


New technical papers recently added to Semiconductor Engineering’s library: Technical Paper Research Organizations Physical Foundation Models: Fixed HW implementations of large-scale neural networks 🔗 Yale University, Cornell University, Boston University, NTT Research Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Princip... » read more

An Agent-Driven End-to-End HW-SW Co-Design Benchmark for Heterogeneous SoCs (Columbia, IBM)


Researchers from Columbia University and IBM Research have released “HSCO-Bench: An Agent-Driven End-to-End Hardware-Software Co-design Benchmark for Systems-on-Chip”. Abstract “Large language models (LLMs) are adopted for software and hardware design, yet these domains are still evaluated separately. Software benchmarks typically assume fixed hardware targets, while hardware be... » read more

Chip Industry Technical Paper Roundup: May 11


New technical papers recently added to Semiconductor Engineering’s library: Technical Paper Research Organizations Source-position-dependent transmission cross coefficient formula including polarization and mask three-dimensional effects in High NA EUV🔗 Science Tokyo Performance and Energy Benefits of MRDIMMs 🔗 Barcelona Supercomputing Center, UPC, ... » read more

Replacing GPU Compute Dies With PNM-Enabled HBM Cubes For Long-Context Decode Attention (UCSD, Columbia, Yonsei U., NVIDIA, Samsung)


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 p... » read more

Chip Industry Week in Review


Intel hired ex-Qualcomm GPU guru Eric Demers for the company's high-performance GPU push, setting the stage for a three-way battle with Nvidia and AMD. The key targets for Intel and AMD will be better power efficiency and a programming model that rivals CUDA, but don't expect Nvidia to stand still. Acquisitions Texas Instruments plans to acquire Silicon Labs for ~$7.5B cash to enhance i... » read more

Chip Industry Technical Paper Roundup: Feb. 3


New technical papers recently added to Semiconductor Engineering’s library: [table id=519 /] Find more semiconductor research papers here. » read more

Benchmark For AI-Aided Chip Design That Evaluates LLMs Across 3 Critical Tasks (UCSD, Columbia)


Researchers at UCSD and Columbia University published "ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design." Abstract "While Large Language Models (LLMs) show significant potential in hardware engineering, current benchmarks suffer from saturation and limited task diversity, failing to reflect LLMs' performance in real industrial workflows. To address t... » read more

Chip Industry Week in Review


The U.S. is considering annual approvals for Samsung and SK hynix to export chipmaking tools and materials to their factories in China, replacing perpetual waivers granted under the validated end user system, reports Bloomberg. The proposal, presented by the U.S. Commerce Department to South Korean officials, would require the companies to reapply each year for specific quantities of restricted... » read more

Chip Industry Technical Paper Roundup: Sept 8


New technical papers recently added to Semiconductor Engineering’s library: [table id=471 /] Find more semiconductor research papers here. » read more

HW Security: 2.5D and 3D Technologies Provide Opportunities in Designing Secure Systems (UCSB, Columbia)


A new technical paper titled "Leveraging 3D Technologies for Hardware Security: Opportunities and Challenges" was published by researchers at the University of California, Santa Barbara and Columbia University. Abstract "3D die stacking and 2.5D interposer design are promising technologies to improve integration density, performance and cost. Current approaches face serious issues in dealin... » read more

← Older posts