UW-Mad-DASH

Data and Systems Hub at UW-Madison

Pinned Repositories

Accordion
Code for reproducing experiments performed for Accoridon
Language:Python13 3 13
AutoFreeze
Language:Python14 2 12
bagpipe
Code for reproducing results for SOSP paper Bagpipe
Language:Python8 2 22
Battery-SoC-Estimation
Data and code for the paper 'Estimating Battery State-of-Charge within 1% using Machine Learning and Physics-based Models' (SAE'23)
Language:Jupyter Notebook24 2 05
decoding-speculative-decoding
Language:Python10 2 11
Gati-code
Language:Python1 3 00
GradCompressionUtility
Language:Python5 2 11
llamatune
Supplementary Material for "LlamaTune: Sample-Efficient DBMS Configuration Tuning"
Language:Python34 2 59
MCBench
[MLSys 2024] Does Compressing Activations Help Model Parallel Training?
Language:Python2 1 12
shockwave
Code for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]
Language:Python39 2 11

uw-mad-dash/shockwave
Code for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]
Language:Python39 2 11
uw-mad-dash/llamatune
Supplementary Material for "LlamaTune: Sample-Efficient DBMS Configuration Tuning"
Language:Python34 2 59
uw-mad-dash/Battery-SoC-Estimation
Data and code for the paper 'Estimating Battery State-of-Charge within 1% using Machine Learning and Physics-based Models' (SAE'23)
Language:Jupyter Notebook24 2 05
uw-mad-dash/AutoFreeze
Language:Python14 2 12
uw-mad-dash/Accordion
Code for reproducing experiments performed for Accoridon
Language:Python13 3 13
uw-mad-dash/decoding-speculative-decoding
Language:Python10 2 11
uw-mad-dash/bagpipe
Code for reproducing results for SOSP paper Bagpipe
Language:Python8 2 22
uw-mad-dash/GradCompressionUtility
Language:Python5 2 11
uw-mad-dash/MCBench
[MLSys 2024] Does Compressing Activations Help Model Parallel Training?
Language:Python2 1 12
uw-mad-dash/Gati-code
Language:Python1 3 00