MOST: Memory Oversubscription-aware Scheduling for Tensor Migration on GPU Unified Storage

Hierarchical Traversal Stack Design Using Shared Memory for GPU Ray Tracing

SSFFT: Energy-Efficient Selective Scaling for Fast Fourier Transform in Embedded GPUs

Kubism: Disassembling and Reassembling K-Means Clustering for Mobile Heterogeneous Platforms

Avant-Garde: Empowering GPUs with Scaled Numeric Formats

Beyond VABlock: Improving Transformer Workloads through Aggressive Prefetching

TM-Training: An Energy-Efficient Tiered Memory System for Deep Learning Training in NPUs

Effective Interplay between Sparsity and Quantization: From Theory to Practice

Marching Page Walks: Batching and Concurrent Page Table Walks for Enhancing GPU Throughput

HyMM: A Hybrid Sparse-Dense Matrix Multiplication Accelerator for GCNs