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cs.DC2026
Every Microsecond Matters: Achieving Near Speed-of-Light Latency in GPU Collectives
Siyuan Shen, Anton Korzh, John Bachan +10
GPU collective communication is typically optimized for bandwidth, yet many emerging workloads are increasingly limited by latency. Long-context decode-heavy large language model (…
cs.DC2023
ACCL+: an FPGA-Based Collective Engine for Distributed Applications
Zhenhao He, Dario Korolija, Yu Zhu +5
FPGAs are increasingly prevalent in cloud deployments, serving as Smart NICs or network-attached accelerators. Despite their potential, developing distributed FPGA-accelerated appl…