3 papers
cs.DC2026
SURGE: SuperBatch Unified Resource-efficient GPU Encoding for Heterogeneous Partitioned Data
Shashank Kapadia, Deep Narayan Mishra, Sujal Reddy Alugubelli +3
We present SURGE, a streaming GPU encoding system deployed in production to generate embeddings for over 800 million texts across 40,000 logical partitions. Production embedding pi…
cs.AR2025
KWT-Tiny: RISC-V Accelerated, Embedded Keyword Spotting Transformer
Aness Al-Qawlaq, Ajay Kumar M, Deepu John
This paper explores the adaptation of Transformerbased models for edge devices through the quantisation and hardware acceleration of the ARM Keyword Transformer (KWT) model on a RI…
cs.AR2025
MARVEL: An End-to-End Framework for Generating Model-Class Aware Custom RISC-V Extensions for Lightweight AI
Ajay Kumar M, Cian O'Mahoney, Pedro Kreutz Werle +5
Deploying deep neural networks (DNNs) on resource-constrained IoT devices remains a challenging problem, often requiring hardware modifications tailored to individual AI models. Ex…