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20212024
most citedRevisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?

8 citations · 16 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2024★ 1 cited

LQER: Low-Rank Quantization Error Reconstruction for LLMs

Cheng Zhang, Jianyi Cheng, George A. Constantinides +1

Post-training quantization of Large Language Models (LLMs) is challenging. In this work, we introduce Low-rank Quantization Error Reduction (LQER), which combines quantization and…

cs.LG2023★ 8 cited

Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?

Cheng Zhang, Jianyi Cheng, Ilia Shumailov +2

The inference of Large language models (LLMs) requires immense computation and memory resources. To curtail these costs, quantisation has merged as a promising solution, but existi…

cs.AR2023

GSA to HDL: Towards principled generation of dynamically scheduled circuits

Aditya Rajagopal, Diederik Adriaan Vink, Jianyi Cheng +1

High-level synthesis (HLS) refers to the automatic translation of a software program written in a high-level language into a hardware design. Modern HLS tools have moved away from…

cs.PL2023

SEER: Super-Optimization Explorer for HLS using E-graph Rewriting with MLIR

Jianyi Cheng, Samuel Coward, Lorenzo Chelini +2

High-level synthesis (HLS) is a process that automatically translates a software program in a high-level language into a low-level hardware description. However, the hardware desig…

cs.AR2023

PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration

Alexander Montgomerie-Corcoran, Zhewen Yu, Jianyi Cheng +1

With the ever-growing popularity of Artificial Intelligence, there is an increasing demand for more performant and efficient underlying hardware. Convolutional Neural Networks (CNN…

cs.AR2023★ 1 cited

A Dataflow Compiler for Efficient LLM Inference using Custom Microscaling Formats

Jianyi Cheng, Cheng Zhang, Zhewen Yu +3

Model quantization represents both parameters (weights) and intermediate values (activations) in a more compact format, thereby directly reducing both computational and memory cost…

cs.PL2021★ 2 cited

ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation

Hanchen Ye, Cong Hao, Jianyi Cheng +4

High-level synthesis (HLS) has been widely adopted as it significantly improves the hardware design productivity and enables efficient design space exploration (DSE). Existing HLS…

cs.PL2021★ 4 cited

Phism: Polyhedral High-Level Synthesis in MLIR

Ruizhe Zhao, Jianyi Cheng

Polyhedral optimisation, a methodology that views nested loops as polyhedra and searches for their optimal transformation regarding specific objectives (parallelism, locality, etc.…