FireBridge enables cycle-accurate hardware-firmware co-verification in standard simulators using randomized memory bridges, delivering up to 50x faster debug iterations than FPGA-based flows for accelerators such as systolic arrays and CGRAs.
Timeloop: A systematic approach to dnn accelerator evaluation
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.AR 2years
2026 2representative citing papers
EnergAIzer predicts module-level GPU utilization from structured kernel patterns and feeds it into a power model to estimate dynamic power with 8% error on Ampere GPUs and 7% on H100 forecasts.
citing papers explorer
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FireBridge: Cycle-Accurate Hardware + Firmware Co-Verification for Modern Accelerators
FireBridge enables cycle-accurate hardware-firmware co-verification in standard simulators using randomized memory bridges, delivering up to 50x faster debug iterations than FPGA-based flows for accelerators such as systolic arrays and CGRAs.
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EnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads
EnergAIzer predicts module-level GPU utilization from structured kernel patterns and feeds it into a power model to estimate dynamic power with 8% error on Ampere GPUs and 7% on H100 forecasts.