73 citations · 220 across the 25 of their papers we have counts for
30 papers
Mixed-Precision Computing for Scientific Discovery: Formats, Co-Design, and Responsible Approximation
Emmanuel Agullo, Hartwig Anzt, Daniel Bauer +37
Reduced and mixed precision have moved from a niche optimization to a central design axis in scientific computing and engineering, driven by energy constraints, heterogeneous accel…
Dense Matrices Are Alike; Sparse Matrices Are Sparse in Their Own Way: A Structure-Adaptive Tile Cholesky Factorization
Esmail Abdul Fattah, Hatem Ltaief, Håvard Rue +1
Sparse direct Cholesky solvers fix one data structure for an entire matrix, but symmetric positive definite systems range from nearly dense to irregular, sometimes mixing both with…
RAP: KV-Cache Compression via RoPE-Aligned Pruning
Jihao Xin, Tian Lyu, David Keyes +2
Long-context inference in large language models (LLMs) is bottlenecked by the memory and compute of the key-value (KV) cache. Structured pruning is a direct way to shrink it: dropp…
GPU-Accelerated Parallel Selected Inversion for Structured Matrices Using sTiles
Esmail Abdul Fattah, Hatem Ltaief, Havard Rue +1
Selected inversion is essential for applications such as Bayesian inference, electronic structure calculations, and inverse covariance estimation, where computing only specific ele…
Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs
Qilong Pan, Sameh Abdulah, Mustafa Abduljabbar +8
Emulating computationally intensive scientific simulations is crucial for enabling uncertainty quantification, optimization, and informed decision-making at scale. Gaussian Process…
GPU-Accelerated Modified Bessel Function of the Second Kind for Gaussian Processes
Zipei Geng, Sameh Abdulah, Ying Sun +3
Modified Bessel functions of the second kind are widely used in physics, engineering, spatial statistics, and machine learning. Since contemporary scientific applications, includin…
sTiles: An Accelerated Computational Framework for Sparse Factorizations of Structured Matrices
Esmail Abdul Fattah, Hatem Ltaief, Havard Rue +1
This paper introduces sTiles, a GPU-accelerated framework for factorizing sparse structured symmetric matrices. By leveraging tile algorithms for fine-grained computations, sTiles…
Accelerating Mixed-Precision Out-of-Core Cholesky Factorization with Static Task Scheduling
Jie Ren, Hatem Ltaief, Sameh Abdulah +1
This paper explores the performance optimization of out-of-core (OOC) Cholesky factorization on shared-memory systems equipped with multiple GPUs. We employ fine-grained computatio…
Toward Capturing Genetic Epistasis From Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression
Hatem Ltaief, Rabab Alomairy, Qinglei Cao +7
We exploit the widening margin in tensor-core performance between [FP64/FP32/FP16/INT8,FP64/FP32/FP16/FP8/INT8] on NVIDIA [Ampere,Hopper] GPUs to boost the performance of output ac…
Boosting Earth System Model Outputs And Saving PetaBytes in their Storage Using Exascale Climate Emulators
Sameh Abdulah, Allison H. Baker, George Bosilca +9
We present the design and scalable implementation of an exascale climate emulator for addressing the escalating computational and storage requirements of high-resolution Earth Syst…
Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications
Xiran Zhang, Sameh Abdulah, Jian Cao +4
Addressing the statistical challenge of computing the multivariate normal (MVN) probability in high dimensions holds significant potential for enhancing various applications. One c…
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations
Qilong Pan, Sameh Abdulah, Marc G. Genton +3
Gaussian processes (GPs) are commonly used for geospatial analysis, but they suffer from high computational complexity when dealing with massive data. For instance, the log-likelih…
Portability and Scalability Evaluation of Large-Scale Statistical Modeling and Prediction Software through HPC-Ready Containers
Sameh Abdulah, Jorge Ejarque, Omar Marzouk +5
HPC-based applications often have complex workflows with many software dependencies that hinder their portability on contemporary HPC architectures. In addition, these applications…
The Second Competition on Spatial Statistics for Large Datasets
Sameh Abdulah, Faten Alamri, Pratik Nag +4
In the last few decades, the size of spatial and spatio-temporal datasets in many research areas has rapidly increased with the development of data collection technologies. As a re…
High-Performance Partial Spectrum Computation for Symmetric eigenvalue problems and the SVD
D. Keyes, H. Ltaief, Y. Nakatsukasa +1
Current dense symmetric eigenvalue (EIG) and singular value decomposition (SVD) implementations may suffer from the lack of concurrency during the tridiagonal and bidiagonal reduct…
High Performance Multivariate Geospatial Statistics on Manycore Systems
Mary Lai O. Salvaña, Sameh Abdulah, Huang Huang +4
Modeling and inferring spatial relationships and predicting missing values of environmental data are some of the main tasks of geospatial statisticians. These routine tasks are acc…
Geostatistical Modeling and Prediction Using Mixed-Precision Tile Cholesky Factorization
Sameh Abdulah, Hatem Ltaief, Ying Sun +2
Geostatistics represents one of the most challenging classes of scientific applications due to the desire to incorporate an ever increasing number of geospatial locations to accura…
Performance / Complexity Trade-offs of the Sphere Decoder Algorithm for Massive MIMO Systems
A. Dabah, H. Ltaief, Z. Rezki +3
Massive MIMO systems are seen by many researchers as a paramount technology toward next generation networks. This technology consists of hundreds of antennas that are capable of se…
Large-scale Environmental Data Science with ExaGeoStatR
Sameh Abdulah, Yuxiao Li, Jian Cao +4
Parallel computing in Gaussian process calculations becomes necessary for avoiding computational and memory restrictions associated with large-scale environmental data science appl…
Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations
Sameh Abdulah, Hatem Ltaief, Ying Sun +2
Maximum likelihood estimation is an important statistical technique for estimating missing data, for example in climate and environmental applications, which are usually large and…
ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems
Sameh Abdulah, Hatem Ltaief, Ying Sun +2
We present ExaGeoStat, a high performance framework for geospatial statistics in climate and environment modeling. In contrast to simulation based on partial differential equations…
Batched QR and SVD Algorithms on GPUs with Applications in Hierarchical Matrix Compression
Wajih Halim Boukaram, George Turkiyyah, Hatem Ltaief +1
We present high performance implementations of the QR and the singular value decomposition of a batch of small matrices hosted on the GPU with applications in the compression of hi…
Accelerated Cyclic Reduction: A Distributed-Memory Fast Solver for Structured Linear Systems
Gustavo Chávez, George Turkiyyah, Stefano Zampini +2
We present Accelerated Cyclic Reduction (ACR), a distributed-memory fast direct solver for rank-compressible block tridiagonal linear systems arising from the discretization of ell…
Optimization of an electromagnetics code with multicore wavefront diamond blocking and multi-dimensional intra-tile parallelization
Tareq M. Malas, Julian Hornich, Georg Hager +3
Understanding and optimizing the properties of solar cells is becoming a key issue in the search for alternatives to nuclear and fossil energy sources. A theoretical analysis via n…