Enabling resilience in asynchronous many-task programming models
Resilience is an imminent issue for next-generation platforms due to projected increases in
soft/transient failures as part of the inherent trade-offs among performance, energy, and …
soft/transient failures as part of the inherent trade-offs among performance, energy, and …
Towards distributed software resilience in asynchronous many-task programming models
N Gupta, JR Mayo, AS Lemoine… - 2020 IEEE/ACM 10th …, 2020 - ieeexplore.ieee.org
Exceptions and errors occurring within mission critical applications due to hardware failures
have a high cost. With the emerging Next Generation Platforms (NGPs), the rate of hardware …
have a high cost. With the emerging Next Generation Platforms (NGPs), the rate of hardware …
Implementing software resiliency in hpx for extreme scale computing
Exceptions and errors occurring within mission critical applications due to hardware failures
have a high cost. With the emerging Next Generation Platforms (NGPs), the rate of hardware …
have a high cost. With the emerging Next Generation Platforms (NGPs), the rate of hardware …
[PDF][PDF] Leveraging a task-based asynchronous dataflow substrate for efficient and scalable resiliency
Leveraging a Task-based Asynchronous Dataflow Substrate for Efficient and Scalable
Resiliency Page 1 Leveraging a Task-based Asynchronous Dataflow Substrate for Efficient and …
Resiliency Page 1 Leveraging a Task-based Asynchronous Dataflow Substrate for Efficient and …
A cross-layer multicore architecture to tradeoff program accuracy and resilience overheads
To protect multicores from soft-error perturbations, resiliency schemes have been developed
with high coverage but high power/performance overheads (~ 2x). We observe that not all …
with high coverage but high power/performance overheads (~ 2x). We observe that not all …
Declarative resilience: A holistic soft-error resilient multicore architecture that trades off program accuracy for efficiency
To protect multicores from soft-error perturbations, research has explored various resiliency
schemes that provide high soft-error coverage. However, these schemes incur high …
schemes that provide high soft-error coverage. However, these schemes incur high …
Evaluating the resilience of parallel applications
Reliability is a significant design constraint for supercomputers and large-scale data centers.
Modeling the effects of faults on applications targeted to such systems allows system …
Modeling the effects of faults on applications targeted to such systems allows system …
Asymmetric resilience: Exploiting task-level idempotency for transient error recovery in accelerator-based systems
Accelerators make the task of building systems that are re-silient against transient errors like
voltage noise and soft errors hard. Architects integrate accelerators into the system as black …
voltage noise and soft errors hard. Architects integrate accelerators into the system as black …
ABFR: convenient management of latent error resilience using application knowledge
Exascale systems face high error-rates due to increasing scale (109 cores), software
complexity and rising memory error rates. Increasingly, errors escape immediate hardware …
complexity and rising memory error rates. Increasingly, errors escape immediate hardware …
Programmer-directed partial redundancy for resilient HPC
In this work we propose partial task replication and checkpointing for task-parallel HPC
applications to mitigate silent data corruption (SDC) errors. As the complete replication of all …
applications to mitigate silent data corruption (SDC) errors. As the complete replication of all …