Board-Level Packaging Method For Device Encapsulation To Enable Water Immersion Cooling


A new technical paper titled "Thermally Conductive Electrically Insulating Electronics Packaging for Water Immersion Cooling" was published by researchers at University of Illinois, Urbana, University of Arkansas and UC Berkeley. Abstract "Power densification is making thermal design a key step in the development of future electrical devices. Systems such as data centers and electric vehicl... » read more

ReRAM-Based, In-Memory Implementation Of Stochastic Computing


A new technical paper titled "All-in-Memory Stochastic Computing using ReRAM" was published by researchers at TU Dresden, Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Case Western Reserve University, University of Louisiana at Lafayette and Barkhausen Institut. Abstract "As the demand for efficient, low-power computing in embedded and edge devices grows, tradit... » read more

Cache Coherence In Network On Chip Design (NTU)


A new technical paper titled "Learning Cache Coherence Traffic for NoC Routing Design" was published by researchers at Nanyang Technological University. "In this work, we propose a cache coherence-aware routing approach with integrated topology selection, guided by our Cache Coherence Traffic Analyzer (CCTA). Our method achieves up to 10.52% lower packet latency, 55.51% faster execution time... » read more

Side-by-Side Benchmark of NPU Platforms (Imperial College London, Cambridge)


A new technical paper titled "Benchmarking Ultra-Low-Power μNPUs" was published by researchers at Imperial College London and University of Cambridge. Abstract "Efficient on-device neural network (NN) inference has various advantages over cloud-based processing, including predictable latency, enhanced privacy, greater reliability, and reduced operating costs for vendors. This has sparked t... » read more

Study Of Multi-Die And Multi-Technology Floorplanning (Texas A&M, Duke)


A new technical paper titled "PPAC Driven Multi-die and Multi-technology Floorplanning" was published by Texas A&M University and Duke University. Abstract "In heterogeneous integration, where different dies may utilize distinct technologies, floorplanning across multiple dies inherently requires simultaneous technology selection. This work presents the first systematic study of multi-die ... » read more

Photonic-SRAM Bitcell for High-Speed On-Chip Photonic Memory and Compute Systems (UW, USC, GF)


A new technical paper titled "Design of Energy-Efficient Cross-coupled Differential Photonic-SRAM (pSRAM) Bitcell for High-Speed On-Chip Photonic Memory and Compute Systems" was published by researchers at University of Wisconsin–Madison, USC and GlobalFoundries. Abstract "In this work, we propose a novel differential photonic static random access memory (pSRAM) bitcell design using fabri... » read more

Adaptive RISC-V Cache Architecture for Near-Memory Extensions (Politecnico di Torino, EPFL)


A new technical paper titled "ARCANE: Adaptive RISC-V Cache Architecture for Near-memory Extensions" was published by researchers at Politecnico di Torino and EPFL. Abstract "Modern data-driven applications expose limitations of von Neumann architectures - extensive data movement, low throughput, and poor energy efficiency. Accelerators improve performance but lack flexibility and require... » read more

Reverse Engineering NVIDIA GPU Cores (Universitat Politècnica de Catalunya)


A new technical paper titled "Analyzing Modern NVIDIA GPU cores" was published by Universitat Politècnica de Catalunya. Abstract "GPUs are the most popular platform for accelerating HPC workloads, such as artificial intelligence and science simulations. However, most microarchitectural research in academia relies on GPU core pipeline designs based on architectures that are more than 15 yea... » read more

Scalable And Energy Efficient Solution for Hardware-Based ANNs (KAUST, NUS)


A new technical paper titled "Synaptic and neural behaviours in a standard silicon transistor" was published by researchers at KAUST and National University of Singapore. Abstract "Hardware implementations of artificial neural networks (ANNs)—the most advanced of which are made of millions of electronic neurons interconnected by hundreds of millions of electronic synapses—have achieved ... » read more

GPU Analysis Identifying Performance Bottlenecks That Cause Throughput Plateaus In Large-Batch Inference


A new technical paper titled "Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference" was published by researchers at Barcelona Supercomputing Center, Universitat Politecnica de Catalunya, and IBM Research. Abstract "Large language models have been widely adopted across different tasks, but their auto-regressive generation nature often leads to inefficient resource util... » read more

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