ICPE

Nowadays we experience a paradigm shift in our society, where every item around us is becoming a computer facilitating life-changing applications like self-driving cars, tele-medicine, precision agriculture or virtual reality. On one hand, for the ...

In modern HPC clusters, the performance of an application is a combination of several aspects. To successfully improve the application performance, all performance aspects should be analyzed and optimized. In particular, as modern CPUs contain more and ...

Performance troubleshooting is notoriously difficult for distributed microservices-based applications. A typical root-cause diagnosis for performance anomaly by an analyst starts by narrowing down the scope of slow services, investigates into high-level ...

A microservice architecture features hundreds or even thousands of small loosely coupled services with multiple instances. Because microservice performance depends on many factors including the workload, inter-service traffic management is complex in ...

HPC (high performance computing) applications come with a variety of requirements for computation, communication, and storage; and many of these requirements can be met with commodity technology available in public clouds. In this article, we report on ...

Public clouds are rapidly moving to support Non-Volatile Memory Express (NVMe) based storage to meet the ever-increasing I/O throughput and latency demands of modern workloads. They provide NVMe storage through virtual machines (VMs) where multiple VMs ...

Driven by the need to find alternative accelerators which can viably replace graphics processing units (GPUs) in next-generation Supercomputing systems, this paper proposes a methodology to enable agile application/hardware co-design. The application-...

Heterogeneous computing has emerged as an important method for supporting more than one kind of processors or accelerators in a program. There is generally a trade off between source code portability and device performance for heterogeneous programming. ...

Recent GPU architectures support unified virtual memory (UVM), which offers great opportunities to solve larger problems by memory oversubscription. Although some studies are concerned over the performance degradation under UVM oversubscription, the ...

GPUs develop at a rapid pace, with new architectures emerging every 12 to 18 months. Every new GPU architecture introduces new features, expecting to improve on previous generations. However, the impact of these changes on the performance of GPGPU ...

Benchmarking is a core element in the toolbox of most systems researchers and is used for analyzing, comparing, and validating complex systems. In the quest for reliable benchmark results, a consensus has formed that a significant experiment must be ...

The Docker Hub repository contains Docker images of applications, which allow users to do in-place upgrades to benefit from the latest released features and security patches. However, prior work showed that upgrading a Docker image not only changes the ...

Autoscaling is a task of major importance in the cloud computing domain as it directly affects both operating costs and customer experience. Although there has been active research in this area for over ten years now, there is still a significant gap ...

Function as a Service (FaaS) is a new software technology with promising features such as automated resource management and auto-scaling. Since these operational aspects are transparent, software engineers may not fully understand the scaling ...

Cloud-native applications are often composed of lightweight containers and conform to the microservice architecture. Cloud providers offer platforms for container hosting and orchestration. These platforms reduce the level of support required from the ...

Session-based recommendation (SBR) systems are widely used in transactional systems to make personalized recommendations to the end-user. In online retail systems, recommendations-based decisions need to be made at a very high rate especially during ...

Although utilising computers to play board games has been a topic of research for many decades, the recent rapid developments in the field of reinforcement learning - like AlphaZero and variants - brought unprecedented progress in games such as chess ...

The need for faster Systems on Chip (SoCs) has accelerated scaling trends, leading to a considerable power density increase and raising critical power and thermal challenges. The ability to measure power consumption of different hardware units is ...

Modern processors, in particular within the server segment, integrate more cores with each generation. This increases their complexity in general, and that of the memory hierarchy in particular. Software executed on such processors can suffer from ...

Deep learning-based recommendation systems are extensively deployed in numerous internet services, including social media, entertainment services, and search engines, to provide users with the most relevant and personalized content. Production scale ...

The High-Level Synthesis (HLS) tools aid in simplified and faster design development without familiarity with Hardware Description Language (HDL) and Register Transfer Logic (RTL) design flow. However, it is not straight forward to associate every line ...

Round robin (RR) is a widely adopted scheduling policy in modern computer systems. The scheduler handles the concurrency by alternating the run processes in such a way that they can use the processor continuously for at most a quantum of time. When the ...

Although commonly used in industry, a major drawback of Stateflow is that it lacks support for stochastic properties; properties that are often needed to build accurate models of real-world systems. In order to solve this problem, as the first ...

In this experience paper, we present new sampling-based algorithms for balanced graph partitioning based on the Label Propagation (LP) approach. The purpose is to define new heuristics to extend the multi-objective and scalable Balanced GRAph ...