2 papers
cs.DC2026
VLCs: Managing Parallelism with Virtualized Libraries
Yineng Yan, William Ruys, Hochan Lee +11
As the complexity and scale of modern parallel machines continue to grow, programmers increasingly rely on composition of software libraries to encapsulate and exploit parallelism.…
cs.LG2026
Local-Order Auxiliary Losses Can Improve Autoencoder Reconstruction
Harvey Dam, Martin Burtscher, Tripti Agarwal +1
Mean-squared error is the default objective for training autoencoders, yet compressed reconstructions often depend not only on pointwise accuracy but also on preserving local spati…