8 citations · 21 across the 8 of their papers we have counts for
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cs.SE2023★ 1 cited
TorchProbe: Fuzzing Dynamic Deep Learning Compilers
Qidong Su, Chuqin Geng, Gennady Pekhimenko +1
Static and dynamic computational graphs represent two distinct approaches to constructing deep learning frameworks. The former prioritizes compiler-based optimizations, while the l…
cs.LG2023★ 1 cited
The Synergy of Speculative Decoding and Batching in Serving Large Language Models
Qidong Su, Christina Giannoula, Gennady Pekhimenko
Large Language Models (LLMs) like GPT are state-of-the-art text generation models that provide significant assistance in daily routines. However, LLM execution is inherently sequen…