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20242026
most citedEnhancing CGRA Efficiency Through Aligned Compute and Communication Provisioning

8 citations · 13 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.AR2026

A Data-Driven Dynamic Execution Orchestration Architecture

Zhenyu Bai, Pranav Dangi, Rohan Juneja +4

Domain-specific accelerators deliver exceptional performance on their target workloads through fabrication-time orchestrated datapaths. However, such specialized architectures ofte…

cs.AR2025

Building an Open CGRA Ecosystem for Agile Innovation

Rohan Juneja, Pranav Dangi, Thilini Kaushalya Bandara +4

Modern computing workloads, particularly in AI and edge applications, demand hardware-software co-design to meet aggressive performance and energy targets. Such co-design benefits…

cs.AR2025

Nexus Machine: An Active Message Inspired Reconfigurable Architecture for Irregular Workloads

Rohan Juneja, Pranav Dangi, Thilini Kaushalya Bandara +2

Modern reconfigurable architectures are increasingly favored for resource-constrained edge devices as they balance high performance, energy efficiency, and programmability well. Ho…

cs.AR20248 cited

Enhancing CGRA Efficiency Through Aligned Compute and Communication Provisioning

Zhaoying Li, Pranav Dangi, Chenyang Yin +5

Coarse-grained Reconfigurable Arrays (CGRAs) are domain-agnostic accelerators that enhance the energy efficiency of resource-constrained edge devices. The CGRA landscape is diverse…

cs.AR20245 cited

Sustainable Hardware Specialization

Pranav Dangi, Thilini Kaushalya Bandara, Saeideh Sheikhpour +2

Hardware specialization is commonly viewed as a way to scale performance in the dark silicon era with modern-day SoCs featuring multiple tens of dedicated accelerators. By only pow…

cs.AR2024

SWAT: Scalable and Efficient Window Attention-based Transformers Acceleration on FPGAs

Zhenyu Bai, Pranav Dangi, Huize Li +1

Efficiently supporting long context length is crucial for Transformer models. The quadratic complexity of the self-attention computation plagues traditional Transformers. Sliding w…