5 papers
KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta
Gang Liao, Hongsen Qin, Ying Wang +36
Making deep learning recommendation model (DLRM) training and inference fast and efficient is important. However, this presents three key system challenges - model architecture div…
Experience Graphs: The Data Foundation for Self-Improving Agents
Gang Liao, Yujia He, Abdullah Ozturk +22
The database community has repeatedly advanced the state of the art by recognizing that new workloads demand new system architectures. We argue that long-horizon agentic tasks -- c…
Bullion: A Column Store for Machine Learning
Gang Liao, Ye Liu, Jianjun Chen +1
The past two decades have witnessed significant success in applying columnar storage to data warehousing and analytics. However, the rapid growth of machine learning poses new chal…
SFVInt: Simple, Fast and Generic Variable-Length Integer Decoding using Bit Manipulation Instructions
Gang Liao, Ye Liu, Yonghua Ding +2
The ubiquity of variable-length integers in data storage and communication necessitates efficient decoding techniques. In this paper, we present SFVInt, a simple and fast approach…
Flock: A Low-Cost Streaming Query Engine on FaaS Platforms
Gang Liao, Amol Deshpande, Daniel J. Abadi
Existing serverless data analytics systems rely on external storage services like S3 for data shuffling and communication between cloud functions. While this approach provides the…