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Paper Citation Record · LEDGER

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures

As of 21 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.20063.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.20063 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:55:04.275086Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

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  • unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e589498-95df-4e57-a8ae-f9a57cbcc8f7 · outbound

This paper cites Powerapi: A python framework for building software-defined power meters.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Powerapi: A python framework for building software-defined power meters

Reference 1

Resolution
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Source-reported events for the cited work

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Observation e15636c3-b053-4edf-802a-431374a99d04 · outbound

This paper cites Rapl in action: Experiences in using rapl for power measurements.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Rapl in action: Experiences in using rapl for power measurements

Reference 2

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verified fuzzy
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Source-reported events for the cited work

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Observation e2149aef-3c46-4862-b20e-452bfdf972bd · outbound

This paper cites Quantifying the impact of shut- down techniques for energy-efficient data centers.Concurrency and Computation: Practice and Experience, 30(17):e4471, 2018.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Quantifying the impact of shut- down techniques for energy-efficient data centers.Concurrency and Computation: Practice and Experience, 30(17):e4471, 2018

Reference 3

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Observation 196aa9e8-7f5d-47ac-bb28-c3b7f5a389b1 · outbound

This paper cites The landscape of parallel computing research: A view from berkeley, 2006.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures The landscape of parallel computing research: A view from berkeley, 2006

Reference 4

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Source-reported events for the cited work

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Observation b042f608-d895-4471-9f12-f2af9eebcdf3 · outbound

This paper cites Performance and power analysis of hpc workloads on heterogeneous multi-node clusters.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Performance and power analysis of hpc workloads on heterogeneous multi-node clusters

Reference 5

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Source-reported events for the cited work

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Observation 4c125847-0f57-4823-b3ef-38a5e428669c · outbound

This paper cites Evaluating the efficiency of cpus, gpus and fpgas on a near-duplicate document detection via opencl.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Evaluating the efficiency of cpus, gpus and fpgas on a near-duplicate document detection via opencl

Reference 6

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Source-reported events for the cited work

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Observation 3fa9bc4d-08de-4d30-a2ac-9508512fcdee · outbound

This paper cites Energy-aware scheduling for high-performance com- puting systems: A survey.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Energy-aware scheduling for high-performance com- puting systems: A survey

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2ab9350a-b059-422c-a071-14dba8ff767c · outbound

This paper cites The energy/frequency convexity rule: Modeling and experimental validation on mobile devices.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures The energy/frequency convexity rule: Modeling and experimental validation on mobile devices

Reference 8

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verified fuzzy
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Source-reported events for the cited work

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Observation c7421ad4-8e48-4409-a93a-3ae7322bcd73 · outbound

This paper cites Energy-efficient computing: Innovations in hardware and software for sustainable advanced computing systems.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Energy-efficient computing: Innovations in hardware and software for sustainable advanced computing systems

Reference 9

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verified fuzzy
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Source-reported events for the cited work

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Observation 3d68a6ce-e1dc-43d5-9138-67262b7766f2 · outbound

This paper cites A survey of methods for analyzing and improving gpu energy efficiency.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures A survey of methods for analyzing and improving gpu energy efficiency

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 14c4ccc2-7716-4bae-8b8a-6b4a165f0e93 · outbound

This paper cites AutoMM: Energy-Efficient Multi-Data-Type Matrix Multiply Design on Heterogeneous Programmable System-on-Chip.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures AutoMM: Energy-Efficient Multi-Data-Type Matrix Multiply Design on Heterogeneous Programmable System-on-Chip

Reference 11

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Source-reported events for the cited work

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Observation 0810ab0a-1703-404d-9086-94797917c247 · outbound

This paper cites Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 572c7e67-5ebf-4d24-8df7-9c3a5cdbd30d · outbound

This paper cites An energy-aware runtime management of multi-core sensory swarms.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures An energy-aware runtime management of multi-core sensory swarms

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0e4abfcf-e0a9-4d17-9778-7f1d5455df91 · outbound

This paper cites Analytical modeling of energy efficiency in heterogeneous processors.Computers & Electrical Engineering, 39(8):2566–2578, 2013.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Analytical modeling of energy efficiency in heterogeneous processors.Computers & Electrical Engineering, 39(8):2566–2578, 2013

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c89ee9ae-e0d3-4aba-848d-6af55f30ac6f · outbound

This paper cites Power and perfor- mance characterization and modeling of gpu-accelerated systems.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Power and perfor- mance characterization and modeling of gpu-accelerated systems

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6475ab6f-6cf9-4a58-9486-cb48f9bd4b7b · outbound

This paper cites The green500 list: Encouraging sustainable supercomputing.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures The green500 list: Encouraging sustainable supercomputing

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 33bc4646-8619-403a-b224-da5fccd2f85b · outbound

This paper cites Green computing-a new horizon of energy efficiency and electronic waste minimization: A global perspective.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Green computing-a new horizon of energy efficiency and electronic waste minimization: A global perspective

Reference 17

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Source-reported events for the cited work

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Observation 99aa341c-ab44-43f2-b506-ca210e4bebf9 · outbound

This paper cites A comprehensive survey on energy-efficient power management techniques.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures A comprehensive survey on energy-efficient power management techniques

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 98680bb6-30ea-416b-b669-960ef35243b8 · outbound

This paper cites An embedded gpu accelerated hyperspectral video classification system in real-time.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures An embedded gpu accelerated hyperspectral video classification system in real-time

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation afd263ea-891a-4b7d-a725-b3d489e5838a · outbound

This paper cites Usage :.

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures Usage :

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.