Thanumalayan Sankaranarayana Pillai

TL;DR: A 540-billion parameter, densely activated, Transformer language model, which is called PaLM achieves breakthrough performance, outperforming the state-of-the-art on a suite of multi-step reasoning tasks, and outperforming average human performance on the recently released BIG-bench benchmark.

TL;DR: WiscKey as discussed by the authors is a persistent LSM-tree-based key-value store with a performance-oriented data layout that separates keys from values to minimize the I/O amplification.

TL;DR: It is demonstrated how to build an optimistic commit protocol that correctly recovers from crashes and delivers high performance, and two new file-system primitives, osync() and dsync(), that decouple ordering of writes from their durability are introduced.

TL;DR: WiscKey is a persistent LSM-tree-based key-value store with a performance-oriented data layout that separates keys from values to minimize I/O amplification and is faster than both LevelDB and RocksDB in all six YCSB workloads.

TL;DR: It is found that applications use complex update protocols to persist state, and that the correctness of these protocols is highly dependent on subtle behaviors of the underlying file system, which is referred to as persistence properties.