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Mind the gap: Attainable data movement and operational intensity bounds for tensor algorithms
The architectural design-space exploration (or DSE) process-whether manual or automated-
benefits greatly from knowing the limits of the metrics of interest in advance. Data movement …
benefits greatly from knowing the limits of the metrics of interest in advance. Data movement …
Fusemax: Leveraging extended einsums to optimize attention accelerator design
Attention for transformers is a critical workload that has recently received significant
'attention'as a target for custom acceleration. Yet, while prior work succeeds in reducing …
'attention'as a target for custom acceleration. Yet, while prior work succeeds in reducing …
LoopTree: Exploring the Fused-layer Dataflow Accelerator Design Space
Latency and energy consumption are key metrics in the performance of deep neural network
(DNN) accelerators. A significant factor contributing to latency and energy is data transfers …
(DNN) accelerators. A significant factor contributing to latency and energy is data transfers …