Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is ...
A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, and network demands in real time, it enhances utilization ...
Abstract: In this paper, we rigorously analyze the non-orthogonal coexistence of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) in the downlink of a Cell-Free ...
Current mainstream KV cache optimization techniques (quantization and pruning) suffer from "one-size-fits-all" limitations and cannot fully exploit the fine-grained differences within the KV cache.
Abstract: The practical fixed-time resource allocation problem is investigated for multi-input-multi-output nonlinear uncertain multiagent systems with disturbed dynamics, subject to global equality ...
This was mostly motivated by #5746, UBSan reminded that misaligned access is considered UB. However, x64 and x86 behave correctly for misaligned access for non-atomic operations. There is misalignment ...