Invited Talk: Scaling Computing for Concurrent Data Structures Using Near-Memory Processing Architectures

Iris Bahar (Colorado School of Mines)

Value-Based Resource Management at SoC Scale

Serhan Gener, Sahil Hassan, Ali Akoglu

NVMe-Backed GNN Training on GPU Leveraging a Paged UVM Memory System

Benjamin Wagley, Pak Markthub, Bo Wu, Mehmet Belviranli

FFTX-IRIS: Toward Performance Portability and Heterogeneity for SPIRAL Generated Code

Sanil Rao, Het Mankad, Mohammad Alaul Haque Monil, Jeffrey Vetter, Franz Franchetti

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

Norihisa Fujita, Beau Johnston, Ryohei Kobayashi, Keita Teranishi, Seyong Lee, Taisuke Boku, Jeffrey Vetter

Vertical Scaling of Variational Multiscale Modeling for Fluid Dynamics: Successes, Challenges, and Opportunities

Christopher Coley

Accelerator Integration in a Tile-Based SoC: Lessons Learned with a Hardware Floating Point Compression Engine

Xueyang Liu, Patricia Gonzalez-Guerrero, Ivy (Bo) Peng, Ronald Minnich, Maya Gokhale

Evaluating Primitives in Deep Neural Network Libraries: A Case Study with the Softmax Functions

Zheming Jin, Jeffrey Vetter

Panelists

Mohamed Wahib (RIKEN), Ivy Peng (KTH Royal Institute of Technology), Ulya Karpuzcu (University of Minnesota, Twin Cities), Sameer Shende (University of Oregon, ParaTools Inc.)