Conference proceedings
Chadwick, AW., Erdos, M., Bora, U., Bhosale, A., Guo, Y. and Jones, TM., 2025. The Future of Instruction-Level Parallelism (ILP)
Doi: 10.17863/CAM.117448
Guo, Y., Chadwick, AW., Erdos, M., Bora, U., Vougioukas, I., Gabrielli, G. and Jones, TM., 2024. OptiWISE: Combining Sampling and Instrumentation for Granular CPI Analysis CGO 2024 - Proceedings of the 2024 IEEE/ACM International Symposium on Code Generation and Optimization,
Doi: 10.1109/CGO57630.2024.10444771
Maji, PP. and Mullins, R., 2017. ADaPT: optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels IML '17 Proceedings of the 1st International Conference on Internet of Things and Machine Learning,
Doi: 10.1145/3109761.3109804
Software
Guo, Y., Chadwick, A., Bora, U., Erdos, M. and Jones, T., 2023. Research data supporting "OptiWISE: Combining Sampling and Instrumentation for Granular CPI Analysis"
Doi: 10.17863/CAM.104277
Journal articles
Ko, Y., Chadwick, A., Bates, D. and Mullins, R., 2021. Lane Compression: A Lightweight Lossless Compression Method for Machine Learning on Embedded Systems ACM Transactions on Embedded Computing Systems, v. 20
Doi: 10.1145/3431815
Working papers
Bates, D., Chadwick, A. and Mullins, R., 2016. Configurable memory systems for embedded many-core processors
