Neha Prakriya

According to our database, Neha Prakriya authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference.

Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

CoRR, 2024

Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review.

Neha Prakriya, Jui-Nan Yen, Cho-Jui Hsieh, Jason Cong

CoRR, 2024

Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference.

Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

CoRR, 2024

HMT: Hierarchical Memory Transformer for Long Context Language Processing.

Zifan He, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong

CoRR, 2024

SpectraFlux: Harnessing the Flow of Multi-FPGA in Mass Spectrometry Clustering.

Tianqi Zhang, Neha Prakriya, Sumukh Pinge, Jason Cong, Tajana Rosing

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs.

Neha Prakriya, Yuze Chi, Suhail Basalama, Linghao Song, Jason Cong

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

NeSSA: Near-Storage Data Selection for Accelerated Machine Learning Training.

Neha Prakriya, Yu Yang, Baharan Mirzasoleiman, Cho-Jui Hsieh, Jason Cong

Proceedings of the 15th ACM/USENIX Workshop on Hot Topics in Storage and File Systems, 2023