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- research-articleFebruary 2024
Fast Instruction Selection for Fast Digital Signal Processing
- Alexander J Root,
- Maaz Bin Safeer Ahmad,
- Dillon Sharlet,
- Andrew Adams,
- Shoaib Kamil,
- Jonathan Ragan-Kelley
ASPLOS '23: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4March 2023, Pages 125–137https://doi.org/10.1145/3623278.3624768Modern vector processors support a wide variety of instructions for fixed-point digital signal processing. These instructions support a proliferation of rounding, saturating, and type conversion modes, and are often fused combinations of more primitive ...
- research-articleFebruary 2024
HIR: An MLIR-based Intermediate Representation for Hardware Accelerator Description
ASPLOS '23: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4March 2023, Pages 189–201https://doi.org/10.1145/3623278.3624767The emergence of machine learning, image and audio processing on edge devices has motivated research towards power-efficient custom hardware accelerators. Though FPGAs are an ideal target for custom accelerators, the difficulty of hardware design and the ...
- research-articleFebruary 2024
Accurate Disassembly of Complex Binaries Without Use of Compiler Metadata
ASPLOS '23: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4March 2023, Pages 1–18https://doi.org/10.1145/3623278.3624766Accurate disassembly of stripped binaries is the first step in binary analysis, instrumentation and reverse engineering. Complex instruction sets such as the x86 pose major challenges in this context because it is very difficult to distinguish between ...
- research-articleFebruary 2024
RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns
- Zaifeng Pan,
- Zhen Zheng,
- Feng Zhang,
- Ruofan Wu,
- Hao Liang,
- Dalin Wang,
- Xiafei Qiu,
- Junjie Bai,
- Wei Lin,
- Xiaoyong Du
ASPLOS '23: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 4March 2023, Pages 268–286https://doi.org/10.1145/3623278.3624761Embedding columns are important for deep recommendation models to achieve high accuracy, but they can be very time-consuming during inference. Machine learning (ML) compilers are used broadly in real businesses to optimize ML models automatically. ...