Imec pushes 3D HBM-on-GPU technology to extreme limits

D HBM-on-GPU design reaches record compute density for demanding AI workloadsPeak GPU temperatures exceeded 140°C without ...
Silicon Semiconductor

Imec mitigates thermal bottleneck in 3D HBM-on-GPU architectures

Imec presents the first comprehensive thermal study of 3D HBM-on-GPU integration using a system-technology co-optimization ...
Semiconductor Engineering

Efficient Multi-GPU Shared Memory via Automatic Optimization of Fine-Grained Transfers

Harini Muthukrishnan (U of Michigan); David Nellans, Daniel Lustig (NVIDIA); Jeffrey A. Fessler, Thomas Wenisch (U of Michigan). Abstract—”Despite continuing research into inter-GPU communication ...
Electronics Weekly

Can memory-GPU stacking heat be beaten for AI training?

The data comes from a thermal STCO (system-technology co-optimization) study of integrating high-bandwidth memory (HBM) on a ...
Nature

GPU Computing and Performance Optimization

Graphics Processing Units (GPUs) are now pivotal in high-performance computing, offering substantial computational throughput through inherently parallel architectures. Modern research in GPU ...
SiliconANGLE

Nvidia acquires GPU cluster optimization startup Run:ai for reported $700M

Nvidia Corp. today disclosed that it has acquired Run:ai, a startup with software for optimizing the performance of graphics card clusters. The terms of the deal were not disclosed. TechCrunch, citing ...
dbta

Crusoe’s Atero Acquisition Drives GPU Optimization for Demanding AI Workloads

Crusoe, the industry’s first vertically integrated AI infrastructure provider, is announcing its acquisition of Atero, the company specializing in GPU management and memory optimization for AI ...
Nature

GPU-Based Finite Element Method Optimization

The use of Graphics Processing Units (GPUs) to accelerate the Finite Element Method (FEM) has revolutionised computational simulations in engineering and scientific research. Recent advancements focus ...