Cooling Technology For Next Gen Power Electronics


A new technical paper titled "Advances in Two-Phase Cooling for Next Power Electronics Converters" was published by researchers at ROMA TRE University, ENEA Casaccia Research Center and Sapienza University. "The proposed arrangement allows a greater extraction of the heat at a very low flow rate of the cooling fluid, even with standard industrial-grade heat-sinks, which motivates the use of ... » read more

DL Compiler for Efficiently Utilizing Inter-Core Connected AI Chips (UIUC, Microsoft)


A new technical paper titled "Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor" was published by researchers at UIUC and Microsoft Research. Abstract "As AI chips incorporate numerous parallelized cores to scale deep learning (DL) computing, inter-core communication is enabled recently by employing high-bandwidth and low-latency interconnect links on th... » read more

GPU Microarchitecture Integrating Dedicated Matrix Units At The Cluster Level (UC Berkeley)


A new technical paper titled "Virgo: Cluster-level Matrix Unit Integration in GPUs for Scalability and Energy Efficiency" was published by UC Berkeley. Abstract "Modern GPUs incorporate specialized matrix units such as Tensor Cores to accelerate GEMM operations central to deep learning workloads. However, existing matrix unit designs are tightly coupled to the SIMT core, limiting the size a... » read more

LLMs In The High-Level Synthesis Design Flow


A new technical paper titled "Are LLMs Any Good for High-Level Synthesis?" was published by researchers at University of Arizona. Abstract "The increasing complexity and demand for faster, energy-efficient hardware designs necessitate innovative High-Level Synthesis (HLS) methodologies. This paper explores the potential of Large Language Models (LLMs) to streamline or replace the HLS proces... » read more

Characterizing Three Supercomputers: Multi-GPU Interconnect Performance


A new technical paper titled "Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects" was published by researchers at Sapienza University of Rome, University of Trento, Vrije Universiteit Amsterdam, ETH Zurich, CINECA, University of Antwerp, IBM Research Europe, HPE Cray, and NVIDIA. Abstract "Multi-GPU nodes are increasingly common in the rapidly evolving landscape... » read more

5 Novel Layout Design Methodologies For The 3nm Nanosheet FET Library (Samsung, KNU)


A new technical paper titled "Design Technology Co-Optimization and Time-Efficient Verification for Enhanced Pin Accessibility in the Post-3-nm Node" was published by researchers at Samsung Electronics and Kyungpook National University (KNU). Abstract: "As the technology nodes approach 3 nm and beyond, nanosheet FETs (NSFETs) are replacing FinFETs. However, despite the migration of devices ... » read more

Potential Of 2D Semi-Metallic PtSe2 As Source/Drain Contacts For 2D Material FETs


A technical paper titled “Improvement of Contact Resistance and 3D Integration of 2D Material Field-Effect Transistors Using Semi-Metallic PtSe2 Contacts” was published by researchers at Yonsei University, Korea Advanced Institute of Science and Technology (KAIST), Lincoln University College, Korea Institute of Science and Technology (KIST), and Ewha Womans University. Abstract: "In this ... » read more

Freeing Up Near-Memory Capacity For Cache Using Compression Techniques In A Flat Hybrid-Memory Architecture


A technical paper titled “HMComp: Extending Near-Memory Capacity using Compression in Hybrid Memory” was published by researchers at Chalmers University of Technology and ZeroPoint Technologies. Abstract: "Hybrid memories, especially combining a first-tier near memory using High-Bandwidth Memory (HBM) and a second-tier far memory using DRAM, can realize a large and low cost, high-bandwi... » read more

Electrochemical RAM Cross-Point Arrays For An Analog DL Accelerator


A technical paper titled “Retention-aware zero-shifting technique for Tiki-Taka algorithm-based analog deep learning accelerator” was published by researchers at Pohang University of Science and Technology, Korea University, and Kyungpook National University. "We present the fabrication of 4 K-scale electrochemical random-access memory (ECRAM) cross-point arrays for analog neural network... » read more

Data Filtering Directly Within A NAND Flash Memory Chip


A technical paper titled “Search-in-Memory (SiM): Reliable, Versatile, and Efficient Data Matching in SSD's NAND Flash Memory Chip for Data Indexing Acceleration” was published by researchers at TU Dortmund, Academia Sinica, and National Taiwan University. "This paper introduces the Search-in-Memory (SiM) chip, which demonstrates the feasibility of performing data filtering directly with... » read more

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