Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=190&ordering=description
{ "count": 203, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=200&ordering=description", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=180&ordering=description", "results": [ { "id": 71838, "title": "Composable Performance Interfaces with Controlled Resolution", "slug": "composable-performance-interfaces-with-controlled", "event_url": "https://memento.epfl.ch/event/composable-performance-interfaces-with-controlled", "visual_url": "https://memento.epfl.ch/image/33158/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33158/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33158/max-size.jpg", "lang": "en", "start_date": "2026-06-26", "end_date": "2026-06-26", "start_time": "11:15:00", "end_time": "13:15:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nate Foster<br>\r\nThesis advisor: Prof. George Candea<br>\r\nCo-examiner: Prof. Rachid Guerraoui<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon", "image_description": "", "creation_date": "2026-05-08T16:49:17", "last_modification_date": "2026-05-08T16:49:17", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "INN 326", "url_place_and_room": "https://plan.epfl.ch/?room==INN%20326", "url_online_room": "", "spoken_languages": [], "speaker": "Alexandre Piveteau", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120704/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "id": 71917, "title": "Securing Next Generation Cellular Networks", "slug": "securing-next-generation-cellular-networks", "event_url": "https://memento.epfl.ch/event/securing-next-generation-cellular-networks", "visual_url": null, "visual_large_url": null, "visual_maxsize_url": null, "lang": "en", "start_date": "2026-06-09", "end_date": "2026-06-09", "start_time": "10:30:00", "end_time": "12:30:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nate Foster<br>\r\nThesis advisor: Prof. Mathias Payer<br>\r\nCo-thesis advisor: Prof. Haitham Al Hassanieh<br>\r\nCo-examiner: Prof. Thomas Bourgeat<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nThis thesis studies cellular security from a state-aware, system-level perspective spanning user equipment, access networks, core networks, and higher-layer voice and messaging services. These systems form a distributed, heterogeneous infrastructure whose security depends on complex and largely opaque implementations across the stack. Cellular infrastructure underpins everyday communication, emergency response, transport, and industrial systems, yet existing research often focuses on isolated components or stateless message handling, leaving state-dependent vulnerabilities and cross-component interactions insufficiently explored. <br>\r\n<br>\r\nThis thesis aims to develop methods to infer and explore protocol state in closed and partially observable implementations, combining active automata learning, dynamic analysis, and targeted testing. It begins with baseband firmware and core-network components, then extends across key trust boundaries such as the Radio Interface Layer, non-cellular interworking, and voice and messaging infrastructure. The goal is to identify vulnerabilities arising from logical flaws, memory-safety issues, and inconsistencies in how state and trust are handled across components.<br>\r\n<br>\r\nBuilding on these insights, the thesis derives lightweight hardening for deployed systems, including boundary mediation and flow-based policy validation. By improving how cellular systems are tested and defended, the project strengthens critical infrastructure and Swiss expertise in 5G security.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n[1]: <a href=\"https://www.ndss-symposium.org/ndss-paper/auto-draft-200/\">https://www.ndss-symposium.org/ndss-paper/auto-draft-200/</a><br>\r\n[2]:<a href=\"https://www.ndss-symposium.org/ndss-paper/basespec-comparative-analysis-of-baseband-software-and-cellular-specifications-for-l3-protocols/\">https://www.ndss-symposium.org/ndss-paper/basespec-comparative-analysis-of-baseband-software-and-cellular-specifications-for-l3-protocols/</a><br>\r\n[3]:<a href=\"https://www.usenix.org/conference/usenixsecurity25/presentation/dong-yilu\">https://www.usenix.org/conference/usenixsecurity25/presentation/dong-yilu</a><br>\r\n ", "image_description": "", "creation_date": "2026-05-21T13:32:02", "last_modification_date": "2026-05-22T10:07:52", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 133", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20133", "url_online_room": "", "spoken_languages": [], "speaker": "Eduard Vlad", "organizer": "", "contact": "edic@epfl,ch", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120822/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "id": 71930, "title": "Generative models for black-box optimization of complex objectives", "slug": "generative-models-for-black-box-optimization-of-co", "event_url": "https://memento.epfl.ch/event/generative-models-for-black-box-optimization-of-co", "visual_url": null, "visual_large_url": null, "visual_maxsize_url": null, "lang": "en", "start_date": "2026-07-09", "end_date": "2026-07-09", "start_time": "10:00:00", "end_time": "12:00:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nicolas Flammarion<br>\r\nThesis advisor: Prof. Pascal Fua<br>\r\nCo-examiner: Prof. Alexander Mathis<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nMany high-impact problems in science and engineering reduce to optimizing a complex objective, where each evaluation is costly and often unreliable: physical experiments fail, simulators diverge, and stochastic systems return noisy feedback. Classical black-box optimizers struggle in this regime, where evaluation budgets are tight and the feasible region is hard to characterize a priori. Our work investigates how the statistical expressivity of modern generative samplers can be leveraged in black-box optimization. We propose that these samplers enable efficient navigation of feasible sets and optimization of geometrically complex objectives under limited, unreliable observations. <br>\r\n<br>\r\nTwo complementary lines of work have already been studied. The main one, SPARROW, demonstrated that a sampler-driven optimizer can substantially reduce the number of function calls needed to maximize complex and unreliable objectives. A parallel line established that samplers can be steered to satisfy hard constraints without sacrificing the statistical diversity of the generated samples. Because SPARROW imposes minimal assumptions on the underlying sampler, these constrained samplers can drive it directly, opening a path to constrained black-box optimization.<br>\r\n<br>\r\nBuilding on these results, two directions are planned. The first is theoretical: a deeper mathematical study of sampler-driven optimization, drawing on the broader literature on sample-efficient black-box optimization, in order to derive stronger guarantees and more efficient algorithms. The second is applied: applying the methods to concrete domains and exploiting the structure those domains expose to sharpen performance beyond what a pure black-box treatment can achieve.<br>\r\n<br>\r\nThe applications of low-budget black-box optimization are diverse, including engineering design (e.g. aerodynamic shape optimization, mechanical components), scientific discovery (e.g. protein and molecule design under synthesizability and stability constraints), and the safety and security of opaque ML systems (e.g. query-efficient adversarial probing, red-teaming of black-box models).<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n ", "image_description": "", "creation_date": "2026-05-22T12:53:32", "last_modification_date": "2026-05-22T13:09:04", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 333", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20333", "url_online_room": "", "spoken_languages": [], "speaker": "Edouard Dufour", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120837/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/48/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 71650, "title": "Approximation Complexity of QMA-hard Optimization Problems", "slug": "approximation-complexity-of-qma-hard-optimization", "event_url": "https://memento.epfl.ch/event/approximation-complexity-of-qma-hard-optimization", "visual_url": "https://memento.epfl.ch/image/32975/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32975/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32975/max-size.jpg", "lang": "en", "start_date": "2026-06-16", "end_date": "2026-06-16", "start_time": "16:00:00", "end_time": "18:00:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nicolas Macris<br>\r\nThesis advisor: Prof. Thomas Vidick<br>\r\nCo-examiner: Prof. Yihui Quek<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li>Relations between average case complexity and approximation complexity (<a href=\"https://dl.acm.org/doi/abs/10.1145/509907.509985\">https://dl.acm.org/doi/abs/10.1145/509907.509985</a>)</li>\r\n\t<li>Efficient algorithm for a quantum analogue of 2-SAT (<a href=\"https://arxiv.org/abs/quant-ph/0602108\">https://arxiv.org/abs/quant-ph/0602108</a>) </li>\r\n\t<li>An Approximation Algorithm for the MAX-2-Local Hamiltonian Problem (<a href=\"https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2020.59\">https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2020.59</a>)</li>\r\n</ul>", "image_description": "", "creation_date": "2026-04-20T21:24:26", "last_modification_date": "2026-05-12T13:33:58", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 129", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20129", "url_online_room": "", "spoken_languages": [], "speaker": "Petra Arabadjieva ", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120447/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "id": 71623, "title": "Sublinear algorithms for Attention and beyond", "slug": "sublinear-algorithms-for-attention-and-beyond", "event_url": "https://memento.epfl.ch/event/sublinear-algorithms-for-attention-and-beyond", "visual_url": "https://memento.epfl.ch/image/32952/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32952/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32952/max-size.jpg", "lang": "en", "start_date": "2026-06-05", "end_date": "2026-06-05", "start_time": "10:00:00", "end_time": "12:00:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Ola Svensson<br>\r\nThesis advisor: Prof. Michael Kapralov<br>\r\nCo-examiner: Prof. Mika Göös<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ol>\r\n\t<li><a href=\"https://arxiv.org/pdf/2502.07861\" title=\"https://arxiv.org/pdf/2502.07861\">Streaming Attention Approximation via Discrepancy Theory</a></li>\r\n\t<li><a href=\"https://theory.stanford.edu/~virgi/cs367/papers/corrFull.pdf\" title=\"https://theory.stanford.edu/~virgi/cs367/papers/corrFull.pdf\">Finding Correlations in Subquadratic Time, with Applications to Learning Parities and the Closest Pair Problem</a></li>\r\n\t<li>Fast and Compact Random Mappings with Uniform Guarantees and Applications (by Piotr Indyk (MIT) and Ying Feng (MIT), to appear in STOC 2026) - web link not yet available.</li>\r\n</ol>", "image_description": "", "creation_date": "2026-04-17T12:41:25", "last_modification_date": "2026-04-30T14:14:41", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 229", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [], "speaker": "Boris Prokhorov ", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120415/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "id": 71599, "title": "Multimodal Reasoning for Human Behavior Understanding", "slug": "multimodal-reasoning-for-human-behavior-understand", "event_url": "https://memento.epfl.ch/event/multimodal-reasoning-for-human-behavior-understand", "visual_url": "https://memento.epfl.ch/image/32931/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32931/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32931/max-size.jpg", "lang": "en", "start_date": "2026-06-24", "end_date": "2026-06-24", "start_time": "09:30:00", "end_time": "11:30:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Robert West<br>\r\nThesis advisor: Prof. Alexander Mathis<br>\r\nCo-examiner: Prof. Mathieu Salzmann<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon", "image_description": "", "creation_date": "2026-04-15T11:07:56", "last_modification_date": "2026-04-15T11:07:56", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 2510", "url_place_and_room": "https://plan.epfl.ch/?room==SV%202510", "url_online_room": "", "spoken_languages": [], "speaker": "Matea Tashkovska", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120386/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "id": 71748, "title": "Reasoning Under Uncertainty: Trustworthy LLMs for High-Stakes Medicine", "slug": "reasoning-under-uncertainty-trustworthy-llms-for-h", "event_url": "https://memento.epfl.ch/event/reasoning-under-uncertainty-trustworthy-llms-for-h", "visual_url": "https://memento.epfl.ch/image/33074/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33074/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33074/max-size.jpg", "lang": "en", "start_date": "2026-06-26", "end_date": "2026-06-26", "start_time": "09:30:00", "end_time": "11:30:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Robert West<br>\r\nThesis advisor: Prof. Mary-Anne Hartley<br>\r\nCo-examiner: Prof. Martin Jaggi<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nCurrent machine learning systems are very good at tasks reducible to statistical pattern recognition but falter on problems requiring deliberate, structured inference. Clinical reasoning exemplifies the latter: physicians generate hypotheses abductively, revise beliefs probabilistically as evidence accumulates, and choose among actions whose costs are deeply asymmetric. The harm of a missed diagnosis is not the harm of an unnecessary test. Large language models, increasingly deployed for clinical decision support, inherit this limitation. They conflate knowledge with inference: the same parameters that store medical facts are asked to reason over them, which leaves no explicit mechanism to quantify uncertainty, to abstain when evidence is insufficient, or to weight outcomes by their true clinical costs. This work argues that progress toward trustworthy medical AI requires separating the representation of knowledge from the machinery of inference, and grounding the latter in formal frameworks drawn from statistical decision theory. We investigate how these frameworks can be embedded into LLM reasoning pipelines and imposed as external scaffolding around them, maintaining competing hypotheses, guiding evidence gathering, and selecting actions that reflect the asymmetric cost structure of clinical practice. The goal is a class of systems capable of reasoning over their uncertainty, systems that know when they do not know.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon", "image_description": "Reasoning Under Uncertainty: Trustworthy LLMs for High-Stakes Medicine", "creation_date": "2026-04-29T09:21:38", "last_modification_date": "2026-04-29T09:21:38", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "INF 326", "url_place_and_room": "https://plan.epfl.ch/?room==INF%20326", "url_online_room": "", "spoken_languages": [], "speaker": "Yusuf Kesmen", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120579/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/48/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 71754, "title": "Towards Understanding Large Language Models", "slug": "towards-understanding-large-language-models", "event_url": "https://memento.epfl.ch/event/towards-understanding-large-language-models", "visual_url": "https://memento.epfl.ch/image/33080/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33080/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33080/max-size.jpg", "lang": "en", "start_date": "2026-06-12", "end_date": "2026-06-12", "start_time": "15:30:00", "end_time": "17:30:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Robert West<br>\r\nThesis advisor: Prof. Nicolas Flammarion<br>\r\nCo-examiner: Prof. Martin Jaggi<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon", "image_description": "", "creation_date": "2026-04-29T09:57:35", "last_modification_date": "2026-05-08T11:16:06", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 329", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20329", "url_online_room": "", "spoken_languages": [], "speaker": "Mark Rofin", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120586/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "id": 71592, "title": "Performance Interfaces for SSD-backed Systems", "slug": "performance-interfaces-for-ssd-backed-systems", "event_url": "https://memento.epfl.ch/event/performance-interfaces-for-ssd-backed-systems", "visual_url": "https://memento.epfl.ch/image/32925/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32925/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32925/max-size.jpg", "lang": "en", "start_date": "2026-05-29", "end_date": "2026-05-29", "start_time": "11:00:00", "end_time": "13:00:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Sanidhya Kashyap<br>\r\nThesis advisor: Prof. George Candea<br>\r\nCo-examiner: Prof. Thomas Bourgeat<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ol>\r\n\t<li>SSD-iq: Uncovering the Hidden Side of SSD Performance, <a href=\"https://www.vldb.org/pvldb/vol18/p4295-haas.pdf\">https://www.vldb.org/pvldb/vol18/p4295-haas.pdf</a></li>\r\n\t<li>Analytic modeling of SSD write performance, <a href=\"https://dl.acm.org/doi/pdf/10.1145/2367589.2367603\">https://dl.acm.org/doi/pdf/10.1145/2367589.2367603</a></li>\r\n\t<li>FusionRAID: Achieving consistent low latency for commodity SSD arrays, <a href=\"https://www.usenix.org/system/files/fast21-jiang.pdf\">https://www.usenix.org/system/files/fast21-jiang.pdf</a></li>\r\n</ol>", "image_description": "", "creation_date": "2026-04-14T14:33:29", "last_modification_date": "2026-05-07T16:11:54", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "INN 326", "url_place_and_room": "https://plan.epfl.ch/?room==INN%20326", "url_online_room": "", "spoken_languages": [], "speaker": "Roshan Ramachandran Nair", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120376/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "id": 71931, "title": "Access Bit Scanning for Page Replacement Policies", "slug": "access-bit-scanning-for-page-replacement-policies", "event_url": "https://memento.epfl.ch/event/access-bit-scanning-for-page-replacement-policies", "visual_url": null, "visual_large_url": null, "visual_maxsize_url": null, "lang": "en", "start_date": "2026-06-22", "end_date": "2026-06-22", "start_time": "10:00:00", "end_time": "12:00:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Thomas Bourgeat<br>\r\nThesis advisor: Prof. Babak Falsafi<br>\r\nCo-examiner: Prof. Sanidhya Kashyap<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nModern workloads with memory footprints ranging from hundreds of gigabytes to several terabytes have become widespread over the last decade. With memory accounting for nearly 50% of server costs in modern data centres, provisioning large DRAM capacities significantly increases total cost of ownership (TCO). Tiered memory architectures combine memories with different capacities, latencies, and cost characteristics to improve cost efficiency while satisfying application performance requirements. Application performance in these architectures is highly sensitive to page placement decisions. Consequently, making informed placement decisions requires precise tracking of data access patterns and accurate identification of hot pages.<br>\r\n<br>\r\nExisting operating systems commonly rely on hardware-maintained access bits in page table entries to estimate memory access behaviour and identify hot data regions. They periodically scan the application's entire virtual address space to construct workload access profiles. However, linear scanning of page table access bits does not scale for modern applications with terabyte-scale memory footprints. Since scanning overhead scales with the memory footprint, a single full scan can take several seconds for workloads with large memory footprints. Reducing scanning frequency lowers monitoring overhead but also decreases profiling accuracy and responsiveness to changing access patterns, resulting in a fundamental tradeoff between profiling accuracy and monitoring overhead. Therefore, we need scalable, low-overhead mechanisms for access monitoring in next-generation memory management systems.<br>\r\n<br>\r\nIn this talk, I will discuss recent approaches to scalable memory access profiling in large-memory systems. Specifically, I will present works that use techniques such as adaptive sampling, region-based monitoring, and hierarchical profiling of page table trees to reduce and bound scanning overhead. <br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon", "image_description": "", "creation_date": "2026-05-22T13:08:29", "last_modification_date": "2026-05-22T13:18:11", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 010", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20010", "url_online_room": "", "spoken_languages": [], "speaker": "<br>\r\nArunkrishna Annai Madalam Sivasubramanian ", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "EDIC candidacy exam", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120838/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/48/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] } ] }
