Efficient Scheduling with Intensive In-Memory File Accesses Considering Bandwidth Constraint on Memory BusBandwidth contentionCompletion timeIO pathIn-Memory filesystemSchedulingThe latest trend in high performance computing and big data applications inspires new solutions of in-memory filesystems to achieve ...
In this work, we present an approach for scheduling of memory-intensive tasks in mutli-core systems. The given approach utilizes the concept of dynamic voltage and frequency scaling (DVFS), thermal management, and heterogeneous cores. The performance of the given approach is compared with a non-...
In non-uniform memory access (NUMA) architecture, a NUMA node is a fundamental component that includes a processor and local memory. These nodes are physically separate b
models for simulation of data-intensive applications. SimGrid is much faster than most Java-based simulators. However, its approach of using user-level threads to model resources renders SimGrid limited by thread switching capability and introduces significant ...
As most real-time tasks are also considerably IO-intensive (consider video streaming, voice and music applications, and reading sensors or making control outputs in machinery), it is likely that they will get blocked regularly, thus having to wait for events and IO hardware mechanisms, before ...
Limited project scheduling features, more geared towards task and workflow management Cost-tracking features require a manual-intensive setup Project dashboard features are limitedMonday.com PricingBasic: $8/user/month Standard: $10/user/month Pro: $16/user/month...
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of the large data sets, the execution time is bounded by the cost of data tra
Scheduling approaches focusing on multi-tenant, instance-intensive workflows should consider three other aspects: (1) the quality of service experience (QoSE) of tenants in different SLAs, (2) the average execution time of multiple workflow instances, and (3) the execution cost saving for service...
In recent years, however, consumer GPUs have become more and more capable of performing their own tasks. When you enable hardware-accelerated GPU scheduling in Windows 11, your PC instead uses a GPUs own dedicated scheduling processor and memory (VRAM) to gather and order the data. Th...
Mobile cloud computing helps to overcome the challenges of mobile computing by allowing mobile devices to migrate computation-intensive and data-intensive tasks to high-performance and scalable computation resources. However, emerging data-intensive applications pose challenges for mobile cloud computing platf...