- Runtime GPU Frequency Capping With Deep Reinforcement Learning🔍
- Energy Efficient Real|time Task Scheduling on CPU|GPU Hybrid ...🔍
- Vaibhav Sundriyal🔍
- CPU and GPU oriented optimizations for LiDAR data processing🔍
- Hybrid CPU|GPU scheduling and execution of tree traversals🔍
- A user mode CPU–GPU scheduling framework for hybrid workloads🔍
- Publications for the project🔍
- High|performance multi|GPU analytic RI|MP2 energy gradients🔍
Runtime power allocation approach for GAMESS hybrid CPU‐GPU ...
Runtime GPU Frequency Capping With Deep Reinforcement Learning
Dynamic Power Management: The majority of previous efforts in dynamic power and performance optimization have been focused on multicore CPUs. For example, our ...
Energy Efficient Real-time Task Scheduling on CPU-GPU Hybrid ...
Typically, a CPU can offload its computing tasks to an associated GPU to shorten the running time. In the TOP-500 supercomputer list [5] as of. June, 2016, 94 ...
Runtime power allocation approach for GAMESS hybrid CPU-GPU implementation. Concurr. Comput. Pract. Exp. 32(24) (2020). [+][–]. 2010 – 2019.
CPU and GPU oriented optimizations for LiDAR data processing
... CPUs, AMD EPYC CPUs, and NVIDIA GPUs · Applied SciencesPub Date: 2024-10-23 ... Runtime power allocation approach for GAMESS hybrid CPU‐GPU implementation.
Hybrid CPU-GPU scheduling and execution of tree traversals
Unfortunately, even this general approach for GPU execu- tion of tree traversal algorithms is reliant on ad hoc, hand-written, algorithm- ...
A user mode CPU–GPU scheduling framework for hybrid workloads
In this paper, we study the problem of optimizing the CPU resource management while keeping the quality of service (QoS) of games. To this end, we propose ...
M. Sosonkina, V. Sundriyal, J.L. Galvez Vallejo, Runtime Power Allocation Based on Multi-GPU Utilization in GAMESS. J. Comput. and Commun. 2022 ...
High-performance multi-GPU analytic RI-MP2 energy gradients
Compara- tive performance analysis shows a significant reduction in computational time relative to traditional multi-core. CPU-based methods, with our approach ...
Game Dev Guide for 12th Gen Intel Core Processor
Developers might already be familiar with hybrid architectures, including high-performance Performance-cores (P-cores), and power-efficient ...
Power-Performance Modeling and Adaptive Management of - CORE
LITTLE architecture, (b) a dynamic power budgeting approach for allocating op- timal power consumption to the CPU and GPU using performance sensitivity models.
Vaibhav Sundriyal - Iowa State University | 人才画像 - AMiner
Journal of computer and communicationsno. 06 (2022): 63-80. Cited0Views0 Bibtex. 0. 0. Runtime Power Allocation Approach For Gamess Hybrid Cpu-Gpu ...
Hybrid CPU-GPU Parallel Simulations of 3D Front Propagation
This master thesis studies GPU-enabled parallel implementations of the 3D Paral- lel Marching Method (PMM). 3D PMM is aimed at solving the non-linear static.
Publications - Exascale Computing Project
“Runtime Power Allocation Approach for GAMESS Hybrid CPU‐GPU Implementation. ... “Delivering Performance-Portable Stencil Computations on CPUs and GPUs ...
FlexWatts: A Power- and Workload-Aware Hybrid Power Delivery ...
This hybrid PDN is allocated for pro- cessor domains with a wide power consumption range (e.g.,. CPU cores and graphics engines) and it dynamically switches.
Mark Gordon's Quantum Theory Group
Gordon, "New Multithreaded Hybrid CPU/GPU Approach to Hartree-Fock", J. ... Poole, and M.S. Gordon, “Runtime Power Allocation Approach for GAMESS Hybrid CPU ...
In the computer game industry, GPUs are used for graphics rendering, and ... nvJPEG – Hybrid (CPU and GPU) JPEG processing. CUDA 11.0–11.8 comes with ...
MAGMA: Enabling exascale performance with accelerated BLAS ...
in the compute power between the CPU and the GPU. Ideally, hybrid algorithms ... MAGMA provides both a hybrid CPU-GPU and a GPU- native version of this ...
Measuring CPU Utilization of a game can be more nuanced than measuring GPU Utilization. ... game or task use case and performance/power demands with the ...
yash_thesis.pdf - Northeastern University
on GPUs to control performance of both CPU and GPU applications [74]. Another software-based approach includes a technique known as Kernel Fusion, which.
Utilization-prediction-aware energy optimization approach ... - OUCI
... Runtime power allocation based on multi-GPU utilization in GAMESS. J Comput ... CPU-GPU heterogeneous computing. IEEE T Wirel Commun 20(12):7947–7962