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Advancing Cures: Exploring Machine Learning & Data Mining for Disease Treatment

At the IDTC, we specialize in discovering new cures for old diseases through innovative methods in large-scale data mining, machine learning, modeling, and simulation. Since 2005, we have collaborated with industry partners and maintained significant funding to support our research. Our infrastructure includes multiple high-performance clusters, requiring robust computing resources and high-speed network connections. We aim to enhance our capabilities while ensuring that our network does not impede other users. Join us in revolutionizing healthcare through technology.

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Advancing Cures: Exploring Machine Learning & Data Mining for Disease Treatment

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  1. Translational Informatics (IDTC 289)

  2. Who we are

  3. What we do • Help finding new cures for old diseases using large scale data mining, machine learning, modeling, and simulation

  4. Who we work with (on weekly basis)

  5. Industrial collaboration • $300K/year since 2005 • 2 clusters + other servers

  6. What we need • Big iron • Chilaca ($70K, 2006) – 16 nodes, 2 CPUs+2GB RAM/node (IDTC – retired) • Synergy ($60K, 2010) – 18 nodes, 8 cores+24GB RAM/node (CARC – production) • Pinon ($99K, 2012) – 33 nodes, 24 cores+64GB RAM/node (IDTC – production) • Access to other CARC clusters • Good workstations • Most people have both Win and Linux workstations • I use daily • 32 GB Win7 desktop ($3K) • 16 GB Linux desktop ($1.8K +$2.6K 3D graphic card) • High speed network connections!!! • Across building • Across campus • Across the world

  7. High speed network – across building $ time scpcbologa@pinon.health.unm.edu:cnav.oeb.gz . cbologa@pinon.health.unm.edu's password: cnav.oeb.gz 100% 14GB 55.8MB/s 04:26 real 4m30.818s user 3m1.771s sys 0m57.960s $ time scp cnav.oeb.gz cbologa@pinon.health.unm.edu: cbologa@pinon.health.unm.edu's password: cnav.oeb.gz 0% 12MB 0.0KB/s - stalled -^C real 9m51.847s user 0m0.276s sys 0m0.036s

  8. High speed network – across campus [cbologa@pinon ~]$ time scpcbologa@tudor.alliance.unm.edu:work/cnav/cnav.oeb.gz . cbologa@tudor.alliance.unm.edu's password: cnav.oeb.gz 100% 14GB 8.5MB/s 29:06 real 29m14.343s user 3m13.421s sys 2m1.670s [cbologa@pinon ~]$ time scp cnav.oeb.gz cbologa@tudor.alliance.unm.edu: cbologa@tudor.alliance.unm.edu's password: cnav.oeb.gz 1% 250MB 0.0KB/s - stalled -^C Killed by signal 2. real 9m28.622s user 0m2.310s sys 0m0.837s

  9. Research Network • We really need it • We do not want to slow down Netflix and YouTube users with our big files • THANK YOU

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