54 citations · 67 across the 5 of their papers we have counts for
5 papers
Hue: A User-Adaptive Parser for Hybrid Logs
Junjielong Xu, Qiuai Fu, Zhouruixing Zhu +4
Log parsing, which extracts log templates from semi-structured logs and produces structured logs, is the first and the most critical step in automated log analysis. While existing…
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators
Zhijing Li, Yuwei Ye, Stephen Neuendorffer +1
As customized accelerator design has become increasingly popular to keep up with the demand for high performance computing, it poses challenges for modern simulator design to adapt…
A Compiler Infrastructure for Accelerator Generators
Rachit Nigam, Samuel Thomas, Zhijing Li +1
We present Calyx, a new intermediate language (IL) for compiling high-level programs into hardware designs. Calyx combines a hardware-like structural language with a software-like…
Predictable Accelerator Design with Time-Sensitive Affine Types
Rachit Nigam, Sachille Atapattu, Samuel Thomas +6
Field-programmable gate arrays (FPGAs) provide an opportunity to co-design applications with hardware accelerators, yet they remain difficult to program. High-level synthesis (HLS)…
Optimizing JPEG Quantization for Classification Networks
Zhijing Li, Christopher De Sa, Adrian Sampson
Deep learning for computer vision depends on lossy image compression: it reduces the storage required for training and test data and lowers transfer costs in deployment. Mainstream…