16 citations · 26 across the 3 of their papers we have counts for
3 papers
cs.DC2023★ 9 cited
Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving
Yinwei Dai, Rui Pan, Anand Iyer +2
Machine learning (ML) inference platforms are tasked with balancing two competing goals: ensuring high throughput given many requests, and delivering low-latency responses to suppo…
cs.CV2019★ 1 cited
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs
Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski +2
Convolutional nets have been shown to achieve state-of-the-art accuracy in many biomedical image analysis tasks. Many tasks within biomedical analysis domain involve analyzing volu…
cs.PF2018★ 16 cited
FFT Convolutions are Faster than Winograd on Modern CPUs, Here is Why
Aleksandar Zlateski, Zhen Jia, Kai Li +1
Winograd-based convolution has quickly gained traction as a preferred approach to implement convolutional neural networks (ConvNet) on various hardware platforms because it require…