IR
Isabelly Rocha
Authored
5 records found
Pipetune
Pipeline parallelism of hyper and system parameters tuning for deep learning clusters
DNN learning jobs are common in today's clusters due to the advances in AI driven services such as machine translation and image recognition. The most critical phase of these jobs for model performance and learning cost is the tuning of hyperparameters. Existing approaches make u
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LEGaTO
Towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing
LEGaTO is a three-year EU H2020 project which started in December 2017. The LEGaTO project will leverage task-based programming models to provide a software ecosystem for Madein- Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engines. The aim is to attai
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Today’s big data clusters based on the MapReduce paradigm are capable of executing analysis jobs with multiple priorities, providing differential latency guarantees. Traces from production systems show that the latency advantage of high-priority jobs comes at the cost of severe l
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