Chip Industry Technical Paper Roundup: June 16


New technical papers recently added to Semiconductor Engineering’s library: Technical Paper Research Organizations Eidola: Modeling Multi-GPU Network Communication Traffic in Distributed AI Workloads 🔗 University of Wisconsin-Madison, AMD Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing 🔗 University of Lübeck, TU Hamburg InjectV: M... » read more

Modeling Multi-GPU Traffic For Distributed AI Workloads (UW Madison, AMD)


Researchers from University of Wisconsin-Madison and AMD Research and Advanced Development published a technical paper titled “Eidola: Modeling Multi-GPU Network Communication Traffic in Distributed AI Workloads.” Abstract: “As distributed AI workloads grow in scale, multi-GPU systems have become essential for training large models. Although techniques like kernel fusion and overlapping... » read more

Chip Industry Technical Paper Roundup: May 26


New technical papers recently added to Semiconductor Engineering’s library: Technical Paper Research Organizations SHIP: SRAM-Based Huge Inference Pipelines for Fast LLM Serving 🔗 Nvidia, Groq Not All Thoughts Need HBM: Semantics-Aware Memory Hierarchy for LLM Reasoning 🔗 USC, University of Wisconsin-Madison Water-based, large-scale transfer of... » read more

Four-Tier Memory Hierarchy for LLM Reasoning (USC, UW)


A new technical paper, "Not All Thoughts Need HBM: Semantics-Aware Memory Hierarchy for LLM Reasoning," was published by researchers at USC and University of Wisconsin-Madison. Abstract "Reasoning LLMs produce thousands of chain-of-thought tokens whose KV cache must reside in scarce GPU HBM. The dominant response -- permanently evicting low-importance tokens -- is catastrophic for reasoni... » read more

Chip Industry Technical Paper Roundup: Feb. 9


New technical papers recently added to Semiconductor Engineering’s library: [table id=521 /] Find more semiconductor research papers here. » read more

Comprehensive System-Level Performance Model For p-SRAM-Based IMC (USC, UW-Madison)


Researchers at USC and University of Wisconsin-Madison published "System-Level Performance Modeling of Photonic In-Memory Computing." Abstract "Photonic in-memory computing is a high-speed, low-energy alternative to traditional transistor-based digital computing that utilizes high photonic operating frequencies and bandwidths. In this work, we develop a comprehensive system-level performa... » read more

Minimizing Optical Loss While Enabling Efficient Phase Modulation in TMD-Based Devices (Nanyang Technological Univ., et al.)


A new technical paper titled "Hybrid tungsten oxyselenide/graphene electrodes for near-lossless 2D semiconductor phase modulators" was published by researchers at Nanyang Technological University, CNRS-International-NTU-Thales Research Alliance (CINTRA), University of Chicago, University of Wisconsin-Madison, Chungnam National University, National Institute for Materials Science, MIT, and Singa... » read more

Research Bits: Dec. 22


Photonic memory Researchers from the University of Southern California Information Sciences Institute and the University of Wisconsin-Madison fabricated a regenerative photonic latch memory on GlobalFoundries’ commercial silicon photonics platform, a step towards building a complete photonic SRAM system. The memory cell can store data as light and regenerate the signal to keep it stable a... » read more

Efficient Synchronous Dataflow Execution For GPUs (NVIDIA, UW-Madison)


A new technical paper titled "Kitsune: Enabling Dataflow Execution on GPUs with Spatial Pipelines" was published by researchers at NVIDIA and the University of Wisconsin-Madison. Abstract "State-of-the-art DL models are growing in size and complexity, with many modern models also increasing in heterogeneity of behavior. GPUs are still the dominant platform for DL applications, relying on ... » read more

Chip Industry Technical Paper Roundup: Nov. 10


New technical papers recently added to Semiconductor Engineering’s library: [table id=490 /] Find more semiconductor research papers here. » read more

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