Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Calotoiu, Alexandru"'
Autor:
Hoefler, Torsten, Calotoiu, Alexandru, Dipankar, Anurag, Schulthess, Thomas, Lapillonne, Xavier, Fuhrer, Oliver
We discuss the computational challenges and requirements for high-resolution climate simulations using the Icosahedral Nonhydrostatic Weather and Climate Model (ICON). We define a detailed requirements model for ICON which emphasizes the need for spe
Externí odkaz:
http://arxiv.org/abs/2405.13043
Aggregated HPC resources have rigid allocation systems and programming models which struggle to adapt to diverse and changing workloads. Consequently, HPC systems fail to efficiently use the large pools of unused memory and increase the utilization o
Externí odkaz:
http://arxiv.org/abs/2401.10852
The rise of serverless introduced a new class of scalable, elastic and highly available parallel workers in the cloud. Many systems and applications benefit from offloading computations and parallel tasks to dynamically allocated resources. However,
Externí odkaz:
http://arxiv.org/abs/2401.10834
Serverless computing is an emerging cloud paradigm that offers an elastic and scalable allocation of computing resources with pay-as-you-go billing. In the Function-as-a-Service (FaaS) programming model, applications comprise short-lived and stateles
Externí odkaz:
http://arxiv.org/abs/2311.13588
Autor:
Schaad, Philipp, Schneider, Timo, Ben-Nun, Tal, Calotoiu, Alexandru, Ziogas, Alexandros Nikolaos, Hoefler, Torsten
The current hardware landscape and application scale is driving performance engineers towards writing bespoke optimizations. Verifying such optimizations, and generating minimal failing cases, is important for robustness in the face of changing progr
Externí odkaz:
http://arxiv.org/abs/2306.16178
With the rise of specialized hardware and new programming languages, code optimization has shifted its focus towards promoting data locality. Most production-grade compilers adopt a control-centric mindset - instruction-driven optimization augmented
Externí odkaz:
http://arxiv.org/abs/2306.00366
Serverless functions provide elastic scaling and a fine-grained billing model, making Function-as-a-Service (FaaS) an attractive programming model. However, for distributed jobs that benefit from large-scale and dynamic parallelism, the lack of fast
Externí odkaz:
http://arxiv.org/abs/2305.08763
Performance optimization is an increasingly challenging but often repetitive task. While each platform has its quirks, the underlying code transformations rely on data movement and computational characteristics that recur across applications. This pa
Externí odkaz:
http://arxiv.org/abs/2303.08142
FaaS (Function-as-a-Service) revolutionized cloud computing by replacing persistent virtual machines with dynamically allocated resources. This shift trades locality and statefulness for a pay-as-you-go model more suited to variable and infrequent wo
Externí odkaz:
http://arxiv.org/abs/2203.14859
Autor:
Calotoiu, Alexandru, Ben-Nun, Tal, Kwasniewski, Grzegorz, Licht, Johannes de Fine, Schneider, Timo, Schaad, Philipp, Hoefler, Torsten
C is the lingua franca of programming and almost any device can be programmed using C. However, programming mod-ern heterogeneous architectures such as multi-core CPUs and GPUs requires explicitly expressing parallelism as well as device-specific pro
Externí odkaz:
http://arxiv.org/abs/2112.11879