66 citations · 66 across the 6 of their papers we have counts for
7 papers
Revealing NVIDIA Closed-Source Driver Command Streams for CPU-GPU Runtime Behavior Insight
Yuang Yan, Ian Karlin, Ryan Grant
For NVIDIA GPUs, CUDA is the primary interface through which applications orchestrate GPU execution, yet much of the logic that realizes CUDA operations resides in NVIDIA's closed-…
Accelerating High-Order Finite Element Simulations at Extreme Scale with FP64 Tensor Cores
Jiqun Tu, Ian Karlin, John Camier +4
Finite element simulations play a critical role in a wide range of applications, from automotive design to tsunami modeling and computational electromagnetics. Performing these sim…
Datacenter Energy Optimized Power Profiles
Sreedhar Narayanaswamy, Pratikkumar Dilipkumar Patel, Ian Karlin +3
This paper presents datacenter power profiles, a new NVIDIA software feature released with Blackwell B200, aimed at improving energy efficiency and/or performance. The initial feat…
Heterogeneous computing in a strongly-connected CPU-GPU environment: fast multiple time-evolution equation-based modeling accelerated using data-driven approach
Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori +5
We propose a CPU-GPU heterogeneous computing method for solving time-evolution partial differential equation problems many times with guaranteed accuracy, in short time-to-solution…
Understanding Power and Energy Utilization in Large Scale Production Physics Simulation Codes
Adam Bertsch, Michael R. Collette, Shawn A. Dawson +8
Power is an often-cited reason for the move to advanced architectures on the path to Exascale computing. This is due to practical considerations related to delivering enough power…
Is Disaggregation possible for HPC Cognitive Simulation?
Michael R Wyatt, Valen Yamamoto, Zoe Tosi +2
Cognitive simulation (CogSim) is an important and emerging workflow for HPC scientific exploration and scientific machine learning (SciML). One challenging workload for CogSim is t…
Efficient Exascale Discretizations: High-Order Finite Element Methods
Tzanio Kolev, Paul Fischer, Misun Min +27
Efficient exploitation of exascale architectures requires rethinking of the numerical algorithms used in many large-scale applications. These architectures favor algorithms that ex…