2 citations · 5 across the 12 of their papers we have counts for
10 papers · 1 filter
Counting Without Running: Evaluating LLMs' Reasoning About Code Complexity
Gregory Bolet, Giorgis Georgakoudis, Konstantinos Parasyris +4
Modern GPU software stacks demand developers who can anticipate performance bottlenecks before ever launching a kernel; misjudging floating-point workloads upstream can derail tuni…
Can Large Language Models Predict Parallel Code Performance?
Gregory Bolet, Giorgis Georgakoudis, Harshitha Menon +5
Accurate determination of the performance of parallel GPU code typically requires execution-time profiling on target hardware -- an increasingly prohibitive step due to limited acc…
HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications
Zane Fink, Konstantinos Parasyris, Praneet Rathi +3
Recent advancements in Machine Learning (ML) have substantially improved its predictive and computational abilities, offering promising opportunities for surrogate modeling in scie…
Taking GPU Programming Models to Task for Performance Portability
Joshua H. Davis, Pranav Sivaraman, Joy Kitson +5
Portability is critical to ensuring high productivity in developing and maintaining scientific software as the diversity in on-node hardware architectures increases. While several…
HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU
Zane Fink, Konstantinos Parasyris, Giorgis Georgakoudis +1
The end of Dennard scaling and the slowdown of Moore's law led to a shift in technology trends toward parallel architectures, particularly in HPC systems. To continue providing per…
A Case Study of LLVM-Based Analysis for Optimizing SIMD Code Generation
Joseph Huber, Weile Wei, Giorgis Georgakoudis +2
This paper presents a methodology for using LLVM-based tools to tune the DCA++ (dynamical clusterapproximation) application that targets the new ARM A64FX processor. The goal is to…
Reinit++: Evaluating the Performance of Global-Restart Recovery Methods For MPI Fault Tolerance
Giorgis Georgakoudis, Luanzheng Guo, Ignacio Laguna
Scaling supercomputers comes with an increase in failure rates due to the increasing number of hardware components. In standard practice, applications are made resilient through ch…
MATCH: An MPI Fault Tolerance Benchmark Suite
Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris +2
MPI has been ubiquitously deployed in flagship HPC systems aiming to accelerate distributed scientific applications running on tens of hundreds of processes and compute nodes. Main…
Iso-Quality of Service: Fairly Ranking Servers for Real-Time Data Analytics
Giorgis Georgakoudis, Charles J. Gillan, Ahmed Sayed +3
We present a mathematically rigorous Quality-of-Service (QoS) metric which relates the achievable quality of service metric (QoS) for a real-time analytics service to the server en…
Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads
Giorgis Georgakoudis, Charles J. Gillan, Ahmed Sayed +3
Energy efficiency has been a daunting challenge for datacenters. The financial industry operates some of the largest datacenters in the world. With increasing energy costs and the…