3 papers
cs.AI2026
Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
Alberto Pepe, Chien-Yu Lin, Despoina Magka +5
Toward recursive self-improvement, we investigate LLM agents autonomously designing foundation models beyond standard Transformers. We introduce a dual-framework approach: AIRA-Com…
cs.AR2024
LoopTree: Exploring the Fused-layer Dataflow Accelerator Design Space
Michael Gilbert, Yannan Nellie Wu, Joel S. Emer +1
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 transfe…
cs.AR2024
Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity
Zi Yu Xue, Yannan Nellie Wu, Joel S. Emer +1
Sparse tensor algebra is a challenging class of workloads to accelerate due to low arithmetic intensity and varying sparsity patterns. Prior sparse tensor algebra accelerators have…