Consider the workload process for a single server queue with deterministic service times in which customers arrive according to a scheduled traffic process. A scheduled arrival sequence is one in which customers are scheduled to arrive at constant in...
This paper tackles the challenge of running multiple ML inference jobs (models) under time-varying workloads, on a constrained on-premises production cluster. Our system Faro takes in latency Service Level Objectives (SLOs) for each job, auto-distill...
Modern software systems often have to cope with uncertain operation conditions, such as changing workloads or fluctuating interference in a wireless network. To ensure that these systems meet their goals these uncertainties have to be mitigated. One...
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. (⭐ 41585)
The accuracy requirements in many scientific computing workloads result in the use of double-precision floating-point arithmetic in the execution kernels. Nevertheless, emerging real-number representations, such as posit arithmetic, show promise in d...
Designers of modern reader-writer locks confront a difficult trade-off related to reader scalability. Locks that have a compact memory representation for active readers will typically suffer under high intensity read-dominated workloads when the "rea...
ARM processors have dominated the mobile device market in the last decade due to their favorable computing to energy ratio. In this age of Cloud data centers and Big Data analytics, the focus is increasingly on power efficient processing, rather than...
Resource Director (IRD) is software that automates the management of CPU resources and certain I/O resources. IRD is implemented as a collaboration between Workload
The CMS Submission Infrastructure (SI) is the main computing resource provisioning system for CMS workloads. A number of HTCondor pools are employed to manage this infrastructure, which aggregates geographically distributed resources from the WLCG an...
**Objective:** Build a cheap, kick-ass server for not a whole lot of money. Server must also has a clear upgrade path for future expansion, and be able to perform in a variety of workloads. **Rules ...
From compact models for space-conscious environments to high-capacity machines for heavy-duty copying, we have options to cater to every budget and workload. Browse through our collection and …
This paper releases and analyzes a month-long trace of 85 billion user requests and 11.9 million cold starts from Huawei's serverless cloud platform. Our analysis spans workloads from five data centers. We focus on cold starts and provide a comprehen...
This sample explains how you can create a zone redundant AKS cluster and the implications of each approach on the deployment strategy and configuration of the persistent volumes used by the workloads. (⭐ 4)
This reference architecture sample shows how to run a web-app workload on Azure App Services in a zone-redundant configuration. (⭐ 5)
Designing low-latency cloud-based applications that are adaptable to unpredictable workloads and efficiently utilize modern cloud computing platforms is hard. The actor model is a popular paradigm that can be used to develop distributed applications:...
Hello, Looking for input on synthesis / BACC Core classes. Hoping to find one that has a light workload. Anyone have input on Geo 300 with Dr. Park Muhonda, e-campus version? Thank you for yo...
BharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale (⭐ 672)
Feb 6, 2026 · Learn about the purpose and item components of the IQ (preview) workload in Microsoft Fabric.
Dynamic Scene Graph Generation (DSGG) aims to create a scene graph for each video frame by detecting objects and predicting their relationships. Weakly Supervised DSGG (WS-DSGG) reduces annotation workload by using an unlocalized scene graph from a s...
Statistical Workload Injector for MapReduce - Project at UC Berkeley AMP Lab (⭐ 129)