124 citations
- Intel (United States)US7 papers
- Georgia Institute of TechnologyUS5 papers
- ETH ZurichCH2 papers
- Indian Institute of Technology KharagpurIN2 papers
- Indian Institute of Technology MadrasIN2 papers
- Max Planck Institute for AstrophysicsDE2 papers
- Menlo SchoolUS2 papers
- Robert Bosch (India)IN2 papers
- Arizona State UniversityUS1 paper
- Astronomical Observatory of RomeIT1 paper
- Atlanta Technical CollegeUS1 paper
- California Southern UniversityUS1 paper
26 papers
OpenGadget3 GPU solver tests
A. Ragagnin, G. S. Karademir, F. Groth +6
We present an in-depth evaluation of the scalability and accuracy of the GPU porting of the N-body code for hydrodynamic cosmological simulations \og. While technical details of ou…
Implementation and Performance Evaluation of CMOS-integrated Memristor-driven Flip-flop Circuits
Paras Tiwari, Narendra Singh Dhakad, Mohit Kumar Gautam +3
In this work, we report implementation and performance evaluation of memristor-driven fundamental logic gates, including NOT, AND, NAND, OR, NOR, and XOR, and novel and optimized d…
KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search
Akash Kundu, Aritra Sarkar, Abhishek Sadhu
Quantum architecture Search (QAS) is a promising direction for optimization and automated design of quantum circuits towards quantum advantage. Recent techniques in QAS emphasize M…
A Quantitative Analysis and Guidelines of Data Streaming Accelerator in Modern Intel Xeon Scalable Processors
Reese Kuper, Ipoom Jeong, Yifan Yuan +4
As semiconductor power density is no longer constant with the technology process scaling down, modern CPUs are integrating capable data accelerators on chip, aiming to improve perf…
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale
William Won, Taekyung Heo, Saeed Rashidi +3
As deep learning models and input data are scaling at an unprecedented rate, it is inevitable to move towards distributed training platforms to fit the model and increase training…
HODLRD: A new Black-box fast algorithm for -body problems in -dimensions with guaranteed error bounds
Ritesh Khan, V A Kandappan, Sivaram Ambikasaran
In this article, we prove new theorems bounding the rank of different sub-matrices arising from these kernel functions. Bounds like these are often useful for analyzing the complex…