Abstract: Load instructions often limit instruction-level parallelism (ILP) in modern processors due to data and resource dependences they cause. Prior techniques like Load Value Prediction (LVP) and ...
OpenMP is the unsung backbone of parallel computing, powerful, portable, and surprisingly simple. Used everywhere from ...
Abstract: High-performance processors have long used instruction-level parallelism (ILP) to achieve performance, but in the past decade processor vendors have dramatically increased their reliance ...
When executing MERGE operations that affect a large number of partitions, Iceberg currently processes the entire operation atomically as a single logical operation. This means all affected partitions ...
🔥 PyTorch Native: veScale is rooted in PyTorch-native data structures, operators, and APIs, enjoying the ecosystem of PyTorch that dominates the ML world. 🛡 Zero Model Code Change: veScale decouples ...
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