activity
20192026
most citedA Data-Center FPGA Acceleration Platform for Convolutional Neural Networks

24 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2026

Programming AMD XDNA NPUs with Open-source Compiler Tools: A FlashAttention Case Study

Erwei Wang, Ephrem Wu, Victor J. B. Jung +4

Spatial NPUs such as AMD XDNA place compute tiles beside small local memories and leave data movement between them to software. Mapping a multi-stage workload onto such a device is…

cs.CL2026

Ceiling-Clipped Acceptance Histograms Indicate Stranded Speed-up in Block-Diffusion Speculative Decoding

Ephrem Wu

Speculative decoding speeds up generation with an efficient draft model (drafter) that proposes tokens for a target model to verify in one pass, preserving the target's output dist…

cs.DC2026

ViBE: Co-Optimizing Workload Skew and Hardware Variability for MoE Serving

Seokjin Go, Marko Scrbak, Ephrem Wu +2

In distributed Mixture-of-Experts (MoE) inference, input-dependent token routing interacts with GPU performance variability to create persistent stragglers under synchronized execu…

cs.LG2020★ 4 cited

Learning Accurate Integer Transformer Machine-Translation Models

Ephrem Wu

We describe a method for training accurate Transformer machine-translation models to run inference using 8-bit integer (INT8) hardware matrix multipliers, as opposed to the more co…

cs.CV2019★ 24 cited

A Data-Center FPGA Acceleration Platform for Convolutional Neural Networks

Xiaoyu Yu, Yuwei Wang, Jie Miao +7

Intensive computation is entering data centers with multiple workloads of deep learning. To balance the compute efficiency, performance, and total cost of ownership (TCO), the use…