Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters | Paper Citation Record

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This paper cites Carbon explorer: A holistic framework for designing carbon aware datacenters.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Carbon explorer: A holistic framework for designing carbon aware datacenters

Reference 1

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Observation dd7fed0e-e8b2-4ddd-961c-277628e87237 · outbound

This paper cites Energy efficient partitioning and scheduling approach for scientific workflows in the cloud.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Energy efficient partitioning and scheduling approach for scientific workflows in the cloud

Reference 2

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This paper cites Assessing ICT global emissions footprint: Trends to 2040 & recommendations.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Assessing ICT global emissions footprint: Trends to 2040 & recommendations

Reference 3

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This paper cites The Datacenter as a Computer: Designing Warehouse-Scale Machines.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters The Datacenter as a Computer: Designing Warehouse-Scale Machines

Reference 4

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This paper cites Using compiler techniques to improve automatic performance modeling.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Using compiler techniques to improve automatic performance modeling

Reference 5

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This paper cites Lotaru: Locally estimating runtimes of scientific workflow tasks in heterogeneous clusters.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Lotaru: Locally estimating runtimes of scientific workflow tasks in heterogeneous clusters

Reference 6

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This paper cites Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures

Reference 7

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This paper cites The future of FPGA acceleration in datacenters and the cloud.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters The future of FPGA acceleration in datacenters and the cloud

Reference 8

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This paper cites Evaluation of HPC workloads running on open-source RISC-V hardware.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Evaluation of HPC workloads running on open-source RISC-V hardware

Reference 9

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This paper cites Chisel: constructing hardware in a scala embedded language.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Chisel: constructing hardware in a scala embedded language

Reference 10

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This paper cites Evaluating energy-aware scheduling algorithms for I/O -intensive scientific workflows.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Evaluating energy-aware scheduling algorithms for I/O -intensive scientific workflows

Reference 11

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This paper cites Yang, and Peizhong Lu.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Yang, and Peizhong Lu

Reference 12

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This paper cites Durillo, Vlad Nae, and Radu Prodan.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Durillo, Vlad Nae, and Radu Prodan

Reference 13

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This paper cites Durillo, Radu Prodan, and Jorge G.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Durillo, Radu Prodan, and Jorge G

Reference 14

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Observation ded85f5c-3f46-4c54-baa6-12042217e7f4 · outbound

This paper cites Pegasus in the cloud: Science automation through workflow technologies.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Pegasus in the cloud: Science automation through workflow technologies

Reference 15

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This paper cites Blair, and Adrian Friday.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Blair, and Adrian Friday

Reference 16

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This paper cites Characterizing, modeling, and accurately simulating power and energy consumption of I/O -intensive scientific workflows.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Characterizing, modeling, and accurately simulating power and energy consumption of I/O -intensive scientific workflows

Reference 17

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This paper cites Accurately simulating energy consumption of I/O -intensive scientific workflows.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Accurately simulating energy consumption of I/O -intensive scientific workflows

Reference 18

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This paper cites Force: Landsat + sentinel-2 analysis ready data and beyond.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Force: Landsat + sentinel-2 analysis ready data and beyond

Reference 19

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This paper cites Lee, Gu-Yeon Wei, David Brooks, and Carole-Jean Wu.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Lee, Gu-Yeon Wei, David Brooks, and Carole-Jean Wu

Reference 20

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Observation 30ad9730-7cae-42d3-b992-68f51cea9acf · outbound

This paper cites Energy efficient scheduling of scientific workflows in cloud environment.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Energy efficient scheduling of scientific workflows in cloud environment

Reference 21

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This paper cites Measurement and characterization of haswell power and energy consumption.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Measurement and characterization of haswell power and energy consumption

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.294680Z

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This paper cites Reducing cloud expenditures and carbon emissions via virtual machine migration and downsizing.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Reducing cloud expenditures and carbon emissions via virtual machine migration and downsizing

Reference 23

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This paper cites A review of power consumption models of servers in data centers.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters A review of power consumption models of servers in data centers

Reference 24

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This paper cites Performance comparision of TPU , GPU , CPU on google colaboratory over distributed deep learning.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Performance comparision of TPU , GPU , CPU on google colaboratory over distributed deep learning

Reference 25

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This paper cites Energy-efficient task scheduling and consolidation algorithm for workflow jobs in cloud.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Energy-efficient task scheduling and consolidation algorithm for workflow jobs in cloud

Reference 26

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This paper cites Mlir: Scaling compiler infrastructure for domain specific computation.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Mlir: Scaling compiler infrastructure for domain specific computation

Reference 27

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This paper cites Survey of energy-efficient and power-proportional storage systems.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Survey of energy-efficient and power-proportional storage systems

Reference 28

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This paper cites How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface

Reference 29

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This paper cites Invited paper: A compile-time cost model for OpenMP.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Invited paper: A compile-time cost model for OpenMP

Reference 30

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This paper cites Adapting datacenter capacity for greener datacenters and grid.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Adapting datacenter capacity for greener datacenters and grid

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.209146Z

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This paper cites Heterohalide: From image processing DSL to efficient FPGA acceleration.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Heterohalide: From image processing DSL to efficient FPGA acceleration

Reference 32

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This paper cites Force on nextflow: Scalable analysis of earth observation data on commodity clusters.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Force on nextflow: Scalable analysis of earth observation data on commodity clusters

Reference 33

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This paper cites Cost and energy aware scheduling algorithm for scientific workflows with deadline constraint in clouds.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Cost and energy aware scheduling algorithm for scientific workflows with deadline constraint in clouds

Reference 34

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This paper cites Green algorithms: Quantifying the carbon footprint of computation.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Green algorithms: Quantifying the carbon footprint of computation

Reference 35

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This paper cites Spotlake: Diverse spot instance dataset archive service.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Spotlake: Diverse spot instance dataset archive service

Reference 36

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This paper cites An experimental study of data retention behavior in modern dram devices: Implications for retention time profiling mechanisms.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters An experimental study of data retention behavior in modern dram devices: Implications for retention time profiling mechanisms

Reference 37

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This paper cites Heterogeneous systems for energy efficient scientific computing.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Heterogeneous systems for energy efficient scientific computing

Reference 38

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This paper cites Dynamic voltage and frequency scaling: The laws of diminishing returns.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Dynamic voltage and frequency scaling: The laws of diminishing returns

Reference 39

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This paper cites u rthinger, and Hanspeter M\.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters u rthinger, and Hanspeter M\

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.124234Z

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This paper cites Compoff: A compiler cost model using machine learning to predict the cost of OpenMP offloading.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Compoff: A compiler cost model using machine learning to predict the cost of OpenMP offloading

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.115177Z

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Observation 175b2c16-d038-4812-a024-2722ad4d67c0 · outbound

This paper cites WattsApp : Power-aware container scheduling.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters WattsApp : Power-aware container scheduling

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.105748Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0209a94e-a227-42bb-b716-84bf9de466ec · outbound

This paper cites Energy efficient workflow scheduling with virtual machine consolidation for green cloud computing.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Energy efficient workflow scheduling with virtual machine consolidation for green cloud computing

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.096606Z

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Observation 31c5db9a-1c54-467b-9ff4-b8d21c2d69e4 · outbound

This paper cites Bringing carbon awareness to multi-cloud application delivery.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Bringing carbon awareness to multi-cloud application delivery

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.087210Z

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Observation 52ae8dd0-d5e8-46e7-be35-7e593a12fc83 · outbound

This paper cites Energy-aware workflow task scheduling in clouds with virtual machine consolidation using discrete water wave optimization.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Energy-aware workflow task scheduling in clouds with virtual machine consolidation using discrete water wave optimization

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.077423Z

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Observation 793dc4e8-f194-46de-b7ed-affbdbaa9064 · outbound

This paper cites Recalibrating global data center energy-use estimates.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Recalibrating global data center energy-use estimates

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.067454Z

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This paper cites A performance analysis of the first generation of HPC -optimized A rm processors.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters A performance analysis of the first generation of HPC -optimized A rm processors

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.058033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c05f4a62-e350-45f5-b564-85bd08b2e0ae · outbound

This paper cites Sitaraman.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Sitaraman

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.048435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 718dc984-bfba-4a2d-97f8-dffaa35c829d · outbound

This paper cites an unresolved cited work.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:54:59.039064Z

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Observation 42898f27-6d5a-45ec-b4da-88a70fb4730a · outbound

This paper cites Mp-stream: A memory performance benchmark for design space exploration on heterogeneous HPC devices.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Mp-stream: A memory performance benchmark for design space exploration on heterogeneous HPC devices

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.029601Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b79f456a-c5b6-47e9-a0e0-99ce5e6174e2 · outbound

This paper cites FPGA design space exploration for scientific HPC applications using a fast and accurate cost model based on roofline analysis.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters FPGA design space exploration for scientific HPC applications using a fast and accurate cost model based on roofline analysis

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.020023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8490c6e8-830c-4f99-aad5-a7bea2f771e5 · outbound

This paper cites Energy-constrained provisioning for scientific workflow ensembles.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Energy-constrained provisioning for scientific workflow ensembles

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.009642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 00d1a78c-9f0b-42cc-b07b-0799c7c12c9b · outbound

This paper cites Deep learning with tensorflow: A review.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Deep learning with tensorflow: A review

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:59.000203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1cada8c2-4b47-449a-a8a2-7f0244618b8d · outbound

This paper cites Producing an infrared multiwavelength galactic plane atlas using montage, pegasus and amazon web services.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Producing an infrared multiwavelength galactic plane atlas using montage, pegasus and amazon web services

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.991557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e34f223-20ae-423a-b8c8-8ac64786e5f5 · outbound

This paper cites Carbon-aware computing for datacenters.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Carbon-aware computing for datacenters

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.982245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a804ba9-30be-4545-b2b0-85224815d5da · outbound

This paper cites A multi-objective based scheduling framework for effective resource utilization in cloud computing.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters A multi-objective based scheduling framework for effective resource utilization in cloud computing

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.973066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f7fddb59-e240-447a-a860-94904422da7a · outbound

This paper cites The Mont-Blanc prototype: an alternative approach for HPC systems.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters The Mont-Blanc prototype: an alternative approach for HPC systems

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.963591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ffbef7c-9bc3-44da-a909-d0cd525cc330 · outbound

This paper cites Energy aware scheduling algorithms for cloud environments -- a survey.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Energy aware scheduling algorithms for cloud environments -- a survey

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.953998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b7a3c1e0-052b-4fd0-a8cc-f4ff42ebf4db · outbound

This paper cites Ecovisor: A virtual energy system for carbon-efficient applications.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Ecovisor: A virtual energy system for carbon-efficient applications

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.944253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b43f3d70-05cd-4a14-a88f-c41ba40ce91c · outbound

This paper cites an unresolved cited work.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:54:58.933936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f168f60-9a3c-4509-80b6-99eb2b9f41db · outbound

This paper cites Memory-aware functional ir for higher-level synthesis of accelerators.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Memory-aware functional ir for higher-level synthesis of accelerators

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.924658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2db0a6db-f61e-43f0-aca8-f9eac2a1993c · outbound

This paper cites Stavrinides and Helen D.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Stavrinides and Helen D

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.914406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f2998fb-9013-44dc-bad7-99118f99e8fc · outbound

This paper cites Reducing FPGA memory footprint of stencil codes through automatic extraction of memory patterns.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Reducing FPGA memory footprint of stencil codes through automatic extraction of memory patterns

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.903940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88f146e2-a56f-4fa8-a490-2d648bcdf8d7 · outbound

This paper cites Lift: a functional data-parallel ir for high-performance GPU code generation.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Lift: a functional data-parallel ir for high-performance GPU code generation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.894227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5ad0531b-2799-4ee2-b8f6-68520fd86deb · outbound

This paper cites Obsidian: A domain specific embedded language for parallel programming of graphics processors.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Obsidian: A domain specific embedded language for parallel programming of graphics processors

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.884515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b75036a-9523-4a4a-b8aa-cc11412a8f7f · outbound

This paper cites PASTA : a power-aware solution to scheduling of precedence-constrained tasks on heterogeneous computing resources.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters PASTA : a power-aware solution to scheduling of precedence-constrained tasks on heterogeneous computing resources

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.874832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 90a00ee7-593d-4f72-a5f7-015793d792ea · outbound

This paper cites A design space exploration of compiler optimizations guided by hot functions.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters A design space exploration of compiler optimizations guided by hot functions

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.866001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fb43097f-fb0e-4cd1-acc8-565fc52a8002 · outbound

This paper cites Static analysis: An introduction: The fundamental challenge of software engineering is one of complexity.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Static analysis: An introduction: The fundamental challenge of software engineering is one of complexity

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.856681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 367671d8-c1be-42fd-a268-52cff0a108a1 · outbound

This paper cites Performance-effective and low-complexity task scheduling for heterogeneous computing.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Performance-effective and low-complexity task scheduling for heterogeneous computing

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.847554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2e2423f3-4843-4aaa-bf4a-855e23f2d17e · outbound

This paper cites The dirty secret of ssds: Embodied carbon.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters The dirty secret of ssds: Embodied carbon

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.838397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fac78ffd-a543-408b-9b24-c99ed0f41e02 · outbound

This paper cites Polyhedral-model guided loop-nest auto-vectorization.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Polyhedral-model guided loop-nest auto-vectorization

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.828905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e90fcf9c-6bc2-434f-b0b7-04a81c041e4f · outbound

This paper cites Efficient FPGA cost-performance space exploration using type-driven program transformations.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Efficient FPGA cost-performance space exploration using type-driven program transformations

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.819444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f9145f0-dae8-41b9-8fcb-07061a46065c · outbound

This paper cites Vanderbauwhede, L.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Vanderbauwhede, L

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.810337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation faa7d11e-c28e-4e2c-8266-fcca8b37e691 · outbound

This paper cites Meta-programming design-flow patterns for automating reusable optimisations.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Meta-programming design-flow patterns for automating reusable optimisations

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.800583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 464969c7-74f0-482d-8cd8-90841673b61a · outbound

This paper cites Domain-specific acceleration and auto-parallelization of legacy scientific code in fortran 77 using source-to-source compilation.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Domain-specific acceleration and auto-parallelization of legacy scientific code in fortran 77 using source-to-source compilation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.790763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 19a5f3f7-f3a9-433a-81de-59aab11d6d0d · outbound

This paper cites Type-driven automated program transformations and cost modelling for optimising streaming programs on FPGA s.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Type-driven automated program transformations and cost modelling for optimising streaming programs on FPGA s

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.779345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 68324384-b37b-4cc4-8073-2c796955a2c7 · outbound

This paper cites Impact of the development and deployment of software on energy consumption: findings and recommendations , 2023.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Impact of the development and deployment of software on energy consumption: findings and recommendations , 2023

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.768356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 456db024-f779-4cb7-8c40-46b06eb7122b · outbound

This paper cites Literature review of approaches to improve software energy efficiency: findings and recommendations , 2023.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Literature review of approaches to improve software energy efficiency: findings and recommendations , 2023

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.758510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 22244d02-901b-442b-9bb0-dae8f1590ee0 · outbound

This paper cites An investigation into the feasibility and benefits of GPU /multicore acceleration of the weather research and forecasting model.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters An investigation into the feasibility and benefits of GPU /multicore acceleration of the weather research and forecasting model

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.747886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation baecebb5-07fd-442b-8981-a5fa0b860d06 · outbound

This paper cites Let's wait awhile: How temporal workload shifting can reduce carbon emissions in the cloud.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Let's wait awhile: How temporal workload shifting can reduce carbon emissions in the cloud

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.737826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 03aa7d68-8de3-4490-a32b-ffdbbad7d991 · outbound

This paper cites Compiler-driven dependence profiling to guide program parallelization.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Compiler-driven dependence profiling to guide program parallelization

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.727846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1e9b6970-0728-43c0-90ae-4d40cdd20f84 · outbound

This paper cites Fedzero: Leveraging renewable excess energy in federated learning.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Fedzero: Leveraging renewable excess energy in federated learning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.717930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 270bddcc-912b-4ef4-8943-d05786fbb903 · outbound

This paper cites Exploring the Potential of Carbon-Aware Execution for Scientific Workflows.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Exploring the Potential of Carbon-Aware Execution for Scientific Workflows

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.708920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 98c219c7-6143-45b0-ae4b-30512250e1f6 · outbound

This paper cites Adopting GPU computing to support DL -based earth science applications.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Adopting GPU computing to support DL -based earth science applications

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.699595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c2702c37-5af7-437c-8d29-7b2223078293 · outbound

This paper cites Ichnos: A carbon footprint estimator for scientific workflows.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Ichnos: A carbon footprint estimator for scientific workflows

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.690103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46534511-b820-43dc-b3b9-b0e7d49ce876 · outbound

This paper cites Cucumber: Renewable-aware admission control for delay-tolerant cloud and edge workloads.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Cucumber: Renewable-aware admission control for delay-tolerant cloud and edge workloads

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.680663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 95dc1c68-606c-45a0-ab21-126d501dd770 · outbound

This paper cites Scheduling for reduced CPU energy.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Scheduling for reduced CPU energy

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.670937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a731f3fe-d2e0-4850-bf57-d8de3cbaa3b6 · outbound

This paper cites EnReal : An energy-aware resource allocation method for scientific workflow executions in cloud environment.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters EnReal : An energy-aware resource allocation method for scientific workflow executions in cloud environment

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.659835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8570eeda-77bd-409f-8c05-9622cdd97204 · outbound

This paper cites Multi-objective approach for energy-aware workflow scheduling in cloud computing environments.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Multi-objective approach for energy-aware workflow scheduling in cloud computing environments

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.648538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb6af9bc-9d65-4ba1-9a07-3c0ad914a7db · outbound

This paper cites Chien, and Sangwon Suh.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Chien, and Sangwon Suh

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.637807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 912b2abf-611f-43bb-9626-4aea5369b174 · outbound

This paper cites Program locality analysis using reuse distance.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Program locality analysis using reuse distance

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.628684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2787a01a-350f-4848-bfde-9a0e9cacb909 · outbound

This paper cites Minimizing energy consumption scheduling algorithm of workflows with cost budget constraint on heterogeneous cloud computing systems.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Minimizing energy consumption scheduling algorithm of workflows with cost budget constraint on heterogeneous cloud computing systems

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.618431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d42978d6-fd10-4193-a6d1-8520a33f3485 · outbound

This paper cites Power-aware consolidation of scientific workflows in virtualized environments.

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters Power-aware consolidation of scientific workflows in virtualized environments

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:54:58.606931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Reference resolution

Outbound references

Pith citing papers