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20232026
most citedHTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms

11 citations · 39 across the 25 of their papers we have counts for

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8 papers · 1 filter

eess.SP2025★ 8 cited

A Multi-Modal IoT Node for Energy-Efficient Environmental Monitoring with Edge AI Processing

Philip Wiese, Victor Kartsch, Marco Guermandi +1

The widespread adoption of Internet of Things (IoT) technologies has significantly advanced environmental monitoring (EM) by enabling cost-effective and scalable sensing solutions.…

cs.AR2025★ 1 cited

Improving Chip Design Enablement for Universities in Europe -- A Position Paper

Lukas Krupp, Ian O'Connor, Luca Benini +3

The semiconductor industry is pivotal to Europe's economy, especially within the industrial and automotive sectors. However, Europe faces a significant shortfall in chip design cap…

cs.AR2025

MXDOTP: A RISC-V ISA Extension for Enabling Microscaling (MX) Floating-Point Dot Products

Gamze İslamoğlu, Luca Bertaccini, Arpan Suravi Prasad +3

Fast and energy-efficient low-bitwidth floating-point (FP) arithmetic is essential for Artificial Intelligence (AI) systems. Microscaling (MX) standardized formats have recently em…

cs.AR2025

VEXP: A Low-Cost RISC-V ISA Extension for Accelerated Softmax Computation in Transformers

Run Wang, Gamze Islamoglu, Andrea Belano +4

While Transformers are dominated by Floating-Point (FP) Matrix-Multiplications, their aggressive acceleration through dedicated hardware or many-core programmable systems has shift…

cs.AR2025

Fused-Tiled Layers: Minimizing Data Movement on RISC-V SoCs with Software-Managed Caches

Victor J. B. Jung, Alessio Burrello, Francesco Conti +1

The success of DNNs and their high computational requirements pushed for large codesign efforts aiming at DNN acceleration. Since DNNs can be represented as static computational gr…

cs.AR2025

MemPool Flavors: Between Versatility and Specialization in a RISC-V Manycore Cluster

Sergio Mazzola, Yichao Zhang, Marco Bertuletti +2

As computational paradigms evolve, applications such as attention-based models, wireless telecommunications, and computer vision impose increasingly challenging requirements on com…