scispace - formally typeset
C

Cheng Lian

Researcher at Intel

Publications -  3
Citations -  1247

Cheng Lian is an academic researcher from Intel. The author has contributed to research in topics: Speedup & Cache. The author has an hindex of 3, co-authored 3 publications receiving 1081 citations.

Papers
More filters
Proceedings ArticleDOI

Spark SQL: Relational Data Processing in Spark

TL;DR: Spark SQL is a new module in Apache Spark that integrates relational processing with Spark's functional programming API, and includes a highly extensible optimizer, Catalyst, built using features of the Scala programming language.
Proceedings ArticleDOI

NativeTask: A Hadoop compatible framework for high performance

TL;DR: The results show that the speedup NativeTask achieves ranges from 10% to 160%, and it paves the way for a better MapReduce that excels on both single node performance and scalability.
Journal ArticleDOI

Using Memory in the Right Way to Accelerate Big Data Processing

TL;DR: Two optimizations to tackle the dramatic inefficiency of the big data processing are introduced, the slice-and-merge strategy, which reduces the cache miss rate of the sort procedure and the direct-memory-access, which reforms the data structure used in key/value storage.