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cs.AR2026
A Thread-Register Decoupled GPU Execution Model for Efficient Tensor Computation
Zihan Liu, Jingwen Leng, Yangjie Zhou +12
Modern GPUs increasingly integrate Tensor Cores into the execution pipeline. Although aggregate tensor throughput continues to grow, aided by an operand supply that has evolved fro…
cs.DC2026
ClusterFusion++: Expanding Cluster-Level Fusion to Full Transformer-Block Decoding
ChiHeng Jin, Hongche Yu, Xihui Chen
Large language model (LLM) decoding is latency-sensitive and often bottlenecked by fragmented operator execution and repeated off-chip materialization of intermediate tensors. Prio…