Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training

Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training

LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference

Trident: A Hybrid Correlation-Collision GPU Cache Timing Attack for AES Key Recovery

Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations

NeuMMU: Architectural Support for Efficient Address Translations in NPUs

PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units

TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning

Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning

Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training