15 citations · 23 across the 15 of their papers we have counts for
15 papers
JOSS: Joint Exploration of CPU-Memory DVFS and Task Scheduling for Energy Efficiency
Jing Chen, Madhavan Manivannan, Bhavishya Goel +1
Energy-efficient execution of task-based parallel applications is crucial as tasking is a widely supported feature in many parallel programming libraries and runtimes. Currently, s…
ODIN: Overcoming Dynamic Interference in iNference pipelines
Pirah Noor Soomro, Nikela Papadopoulou, Miquel Pericàs
As an increasing number of businesses becomes powered by machine-learning, inference becomes a core operation, with a growing trend to be offered as a service. In this context, the…
Accelerating CNN inference on long vector architectures via co-design
Sonia Rani Gupta, Nikela Papadopoulou, Miquel Pericas
CPU-based inference can be an alternative to off-chip accelerators, and vector architectures are a promising option due to their efficiency. However, the large design space of conv…
Energy-Efficiency Evaluation of OpenMP Loop Transformations and Runtime Constructs
Henrik Valter, Axel Karlsson, Miquel Pericàs
OpenMP is the de facto API for parallel programming in HPC applications. These programs are often computed in data centers, where energy consumption is a major issue. Whereas previ…
Shisha: Online scheduling of CNN pipelines on heterogeneous architectures
Pirah Noor Soomro, Mustafa Abduljabbar, Jeronimo Castrillon +1
Chiplets have become a common methodology in modern chip design. Chiplets improve yield and enable heterogeneity at the level of cores, memory subsystem and the interconnect. Convo…
ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes
Jing Chen, Madhavan Manivannan, Mustafa Abduljabbar +1
Parallel applications often rely on work stealing schedulers in combination with fine-grained tasking to achieve high performance and scalability. However, reducing the total energ…
Mitigating inefficient task mappings with an Adaptive Resource-Moldable Scheduler (ARMS)
Mustafa Abduljabbar, Mahmoud Eljammaly, Miquel Pericas
Efficient runtime task scheduling on complex memory hierarchy becomes increasingly important as modern and future High-Performance Computing (HPC) systems are progressively compose…
CBP: Coordinated management of cache partitioning, bandwidth partitioning and prefetch throttling
Nadja Ramhöj Holtryd, Madhavan Manivannan, Per Stenström +1
Reducing the average memory access time is crucial for improving the performance of applications running on multi-core architectures. With workload consolidation this becomes incre…
Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar +2
Shared resource interference is observed by applications as dynamic performance asymmetry. Prior art has developed approaches to reduce the impact of performance asymmetry mainly a…
Proceedings of the Thirteenth International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2020)
Miquel Pericas, Oscar Palomar, Vassilis Papaefstathiou +1
This volume contains the proceedings of the 13th International Workshop on Programmability and Architectures for Heterogeneous Multicores. The workshop was held in conjunction with…
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing
B. Salami, K. Parasyris, A. Cristal +42
The LEGaTO project leverages task-based programming models to provide a software ecosystem for Made in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engi…
Coordinated Management of Processor Configuration and Cache Partitioning to Optimize Energy under QoS Constraints
Mehrzad Nejat, Madhavan Manivannan, Miquel Pericas +1
An effective way to improve energy efficiency is to throttle hardware resources to meet a certain performance target, specified as a QoS constraint, associated with all application…
Coordinated Management of DVFS and Cache Partitioning under QoS Constraints to Save Energy in Multi-Core Systems
Mehrzad Nejat, Madhavan Manivannan, Miquel Pericas +1
Reducing the energy expended to carry out a computational task is important. In this work, we explore the prospects of meeting Quality-of-Service requirements of tasks on a multi-c…
An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity
Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar +1
With the emergence of heterogeneous hardware paving the way for the post-Moore era, it is of high importance to adapt the runtime scheduling to the platform's heterogeneity. To enh…
High performance scheduling of mixed-mode DAGs on heterogeneous multicores
Agnes Rohlin, Henrik Fahlgren, Miquel Pericas
Many HPC applications can be expressed as mixed-mode computations, in which each node of a computational DAG is itself a parallel computation that can be molded at runtime to alloc…