22 citations · 28 across the 5 of their papers we have counts for
5 papers
Flexible Communication for Optimal Distributed Learning over Unpredictable Networks
Sahil Tyagi, Martin Swany
Gradient compression alleviates expensive communication in distributed deep learning by sending fewer values and its corresponding indices, typically via Allgather (AG). Training w…
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs
Boyuan Zhang, Jiannan Tian, Sheng Di +4
Today's graphics processing unit (GPU) applications produce vast volumes of data, which are challenging to store and transfer efficiently. Thus, data compression is becoming a crit…
QTrojan: A Circuit Backdoor Against Quantum Neural Networks
Cheng Chu, Lei Jiang, Martin Swany +1
We propose a circuit-level backdoor attack, \textit{QTrojan}, against Quantum Neural Networks (QNNs) in this paper. QTrojan is implemented by few quantum gates inserted into the va…
An information services algorithm to heuristically summarize IP addresses for a distributed, hierarchical directory service
Marcos Portnoi, Jason Zurawsky, Martin Swany
A distributed, hierarchical information service for computer networks might rely in several instances, located in different layers. A distributed directory service, for example, mi…
Offloading MPI Parallel Prefix Scan (MPI_Scan) with the NetFPGA
Omer Arap, Martin Swany
Parallel programs written using the standard Message Passing Interface (MPI) frequently depend upon the ability to efficiently execute collective operations. MPI_Scan is a collecti…