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pro vyhledávání: '"Berger, A S"'
We present SupMario, a characterization framework designed to thoroughly analyze, model, and optimize CXL memory performance. SupMario is based on extensive evaluation of 265 workloads spanning 4 real CXL devices within 7 memory latency configuration
Externí odkaz:
http://arxiv.org/abs/2409.14317
Publikováno v:
Academy of Management Journal. Nov2024, p1-28. 28p.
Autor:
Loseke, Donileen R.
Publikováno v:
Contemporary Sociology, 2017 Jan 01. 46(1), 36-37.
Externí odkaz:
https://www.jstor.org/stable/26425260
The Compute Express Link (CXL) is an open industry-standard interconnect between processors and devices such as accelerators, memory buffers, smart network interfaces, persistent memory, and solid-state drives. CXL offers coherency and memory semanti
Externí odkaz:
http://arxiv.org/abs/2306.11227
Autor:
Namyar, Pooria, Arzani, Behnaz, Crankshaw, Daniel, Berger, Daniel S., Hsieh, Kevin, Kandula, Srikanth, Govindan, Ramesh
Some faults in data center networks require hours to days to repair because they may need reboots, re-imaging, or manual work by technicians. To reduce traffic impact, cloud providers \textit{mitigate} the effect of faults, for example, by steering t
Externí odkaz:
http://arxiv.org/abs/2305.13792
Autor:
Helland, Ragnhild Holden, Ferles, Alexandros, Pedersen, André, Kommers, Ivar, Ardon, Hilko, Barkhof, Frederik, Bello, Lorenzo, Berger, Mitchel S., Dunås, Tora, Nibali, Marco Conti, Furtner, Julia, Hervey-Jumper, Shawn, Idema, Albert J. S., Kiesel, Barbara, Tewari, Rishi Nandoe, Mandonnet, Emmanuel, Müller, Domenique M. J., Robe, Pierre A., Rossi, Marco, Sagberg, Lisa M., Sciortino, Tommaso, Aalders, Tom, Wagemakers, Michiel, Widhalm, Georg, Witte, Marnix G., Zwinderman, Aeilko H., Majewska, Paulina L., Jakola, Asgeir S., Solheim, Ole, Hamer, Philip C. De Witt, Reinertsen, Ingerid, Eijgelaar, Roelant S., Bouget, David
Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The current stan
Externí odkaz:
http://arxiv.org/abs/2304.08881
Autor:
Hollon, Todd C., Jiang, Cheng, Chowdury, Asadur, Nasir-Moin, Mustafa, Kondepudi, Akhil, Aabedi, Alexander, Adapa, Arjun, Al-Holou, Wajd, Heth, Jason, Sagher, Oren, Lowenstein, Pedro, Castro, Maria, Wadiura, Lisa Irina, Widhalm, Georg, Neuschmelting, Volker, Reinecke, David, von Spreckelsen, Niklas, Berger, Mitchel S., Hervey-Jumper, Shawn L., Golfinos, John G., Snuderl, Matija, Camelo-Piragua, Sandra, Freudiger, Christian, Lee, Honglak, Orringer, Daniel A.
Molecular classification has transformed the management of brain tumors by enabling more accurate prognostication and personalized treatment. However, timely molecular diagnostic testing for patients with brain tumors is limited, complicating surgica
Externí odkaz:
http://arxiv.org/abs/2303.13610
Recent work shows the effectiveness of Machine Learning (ML) to reduce cache miss ratios by making better eviction decisions than heuristics. However, state-of-the-art ML caches require many predictions to make an eviction decision, making them impra
Externí odkaz:
http://arxiv.org/abs/2301.11886
Autor:
Bouget, D., Pedersen, A., Jakola, A. S., Kavouridis, V., Emblem, K. E., Eijgelaar, R. S., Kommers, I., Ardon, H., Barkhof, F., Bello, L., Berger, M. S., Nibali, M. C., Furtner, J., Hervey-Jumper, S., Idema, A. J. S., Kiesel, B., Kloet, A., Mandonnet, E., Müller, D. M. J., Robe, P. A., Rossi, M., Sciortino, T., Brink, W. Van den, Wagemakers, M., Widhalm, G., Witte, M. G., Zwinderman, A. H., Hamer, P. C. De Witt, Solheim, O., Reinertsen, I.
Publikováno v:
Frontiers in Neurology, Sec. Applied Neuroimaging, Volume 13, 2022
For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the lack of standardized and automatic methods for tumor detection and gene
Externí odkaz:
http://arxiv.org/abs/2204.14199
Autor:
Thompson, Annemarie, Fleischmann, Kirsten E., Smilowitz, Nathaniel R., de las Fuentes, Lisa, Mukherjee, Debabrata, Aggarwal, Niti R., Ahmad, Faraz S., Allen, Robert B., Altin, S. Elissa, Auerbach, Andrew, Berger, Jeffrey S., Chow, Benjamin, Dakik, Habib A., Eisenstein, Eric L., Gerhard-Herman, Marie, Ghadimi, Kamrouz, Kachulis, Bessie, Leclerc, Jacinthe, Lee, Christopher S., Macaulay, Tracy E., Mates, Gail, Merli, Geno J., Parwani, Purvi, Poole, Jeanne E., Rich, Michael W., Ruetzler, Kurt, Stain, Steven C., Sweitzer, BobbieJean, Talbot, Amy W., Vallabhajosyula, Saraschandra, Whittle, John, Williams, Kim Allan, Sr.
Publikováno v:
In Journal of the American College of Cardiology 5 November 2024 84(19):1869-1969