Search Results - masudul+quraishi

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Hardware-Agnostic Message Passing Interface for Heterogeneous Computing Systems
Today's high-performance computing (HPC) systems are largely structured based on traditional central processing units (CPUs) with tightly coupled general-purpose graphics processing units (GPUs, which can be considered domain-specific accelerators). GPUs have a different programming model than CPUs and are only efficient in exploiting spatial parallelism...
Published: 4/4/2025   |   Inventor(s): Michael Riera, Fengbo Ren, Masudul Quraishi, Erfan Bank Tavakoli
Keywords(s):  
Category(s): Computing & Information Technology, Physical Science
Stand-Alone Accelerator Protocol (SAP) for Heterogeneous Computing Systems
Today's high-performance computing (HPC) systems are largely structured based on traditional central processing units (CPUs) with tightly coupled general-purpose graphics processing units (GPUs, which can be considered domain-specific accelerators). GPUs have a different programming model than CPUs and are only efficient in exploiting spatial parallelism...
Published: 4/4/2025   |   Inventor(s): Michael Riera, Fengbo Ren, Masudul Quraishi, Erfan Bank Tavakoli
Keywords(s):  
Category(s): Computing & Information Technology, Physical Science
Software-Defined Board Support Package (SW-BSP) for Stand-Alone Reconfigurable Accelerators
Today's high-performance computing (HPC) systems are largely structured based on traditional central processing units (CPUs) with tightly coupled general-purpose graphics processing units (GPUs, which can be considered domain-specific accelerators). GPUs have a different programming model than CPUs and are only efficient in exploiting spatial parallelism...
Published: 4/4/2025   |   Inventor(s): Michael Riera, Fengbo Ren, Masudul Quraishi, Erfan Bank Tavakoli
Keywords(s):  
Category(s): Computing & Information Technology, Physical Science
High Performance Computing Framework for Accelerating Sparse Cholesky Factorization on FPGAs
­Solving large symmetric sparse linear systems using sparse Cholesky factorization plays a pivotal role in many scientific computing and high-performance computing (HPC) applications. The existing computational solutions to sparse Cholesky factorization based on CPUs and GPUs suffer from very limited performance for to two primary reasons. First,...
Published: 2/13/2025   |   Inventor(s): Erfan Bank Tavakoli, Fengbo Ren, Michael Riera, Masudul Quraishi
Keywords(s): Algorithm Development, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science