BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser X-WR-TIMEZONE:America/Toronto BEGIN:VTIMEZONE TZID:America/Toronto X-LIC-LOCATION:America/Toronto BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20250309T070000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20240310T070000 END:DAYLIGHT BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20251102T060000 END:STANDARD BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20241103T060000 END:STANDARD BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20221106T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:69d21d666c9df DTSTART;TZID=America/Toronto:20260210T103000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20260210T120000 URL:https://uwaterloo.ca/math-faculty-computing-facility/events/bandicoot-e fficient-gpu-linear-algebra-c-template SUMMARY:Bandicoot: Efficient GPU linear algebra via C++ template\nmetaprogr amming CLASS:PUBLIC DESCRIPTION:Math Faculty Computing Facility\n\nPresents:\n\nDR. RYAN CURTIN \n\nTuesday\, February 10\, 2026\n\n10:30am - 12:00pm DC 1302\n\nR.S.V.P t o mfcfhelp@uwaterloo.ca\n\n\"BANDICOOT: EFFICIENT GPU LINEAR ALGEBRA VIA C++ TEMPLATE\nMETAPROGRAMMING\"\n\n \n\nABSTRACT:\n\n \n\nIt's not too m uch of a stretch to say that linear algebra is the\nbackbone of modern com putational science\; by that token\, efficiency is\nof paramount importanc e.  For over 15 years\, the Armadillo C++\nlinear algebra library has pr ovided efficient linear algebra\nimplementations via template metaprogramm ing\, using expression\ntemplates and delayed evaluation techniques (which were originally\ndeveloped at Waterloo in the late 90s!).  Recently\, t he Bandicoot\nproject introduced the same techniques for GPU linear algebr a using an\nArmadillo-compatible API for easy drop-in usage.  Bandicoot is not\nspecific to particular hardware\; it can be used with any CUDA or\ nOpenCL device\, and additional backends (HIP/ROCm\, Metal\, Vulkan) are\n actively being developed.  Bandicoot is able to both optimize linear\nal gebra expressions at compile-time in the same way Armadillo can\, and\nals o generate efficient GPU kernel code with fused optimizations.  I\nwill discuss each of these optimizations\, how they all fit together\ninto Band icoot\, and show how existing Armadillo applications can be\neasily adapte d to the GPU with Bandicoot.\n\n \n\nBIO:\n\n \n\nDr. Ryan Curtin is an independent researcher and open-source software\ndeveloper\, leading the d evelopment and maintenance of several packages\nin the C++ scientific soft ware ecosystem.  During his Ph.D. at\nGeorgia Tech he focused on the for malization of dual-tree algorithms\,\na class of geometric branch-and-boun d algorithms that can be used to\nsolve subproblems relevant to machine le arning techniques.  These\nalgorithms underlie the efficient mlpack C++ machine learning library\,\nwhich he has led since 2010.  In his free ti me\, he races go-karts\,\nso he never escapes from trying to go fast in on e way or another.  DTSTAMP:20260405T082926Z END:VEVENT BEGIN:VEVENT UID:69d21d6678f0a DTSTART;TZID=America/Toronto:20250212T100000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20250212T110000 URL:https://uwaterloo.ca/math-faculty-computing-facility/events/nvidia-lect ure-solving-complex-physics-based-problems LOCATION:MC - Mathematics & Computer Building 200 University Avenue West MC 5501 Waterloo ON N2L 3G1 Canada SUMMARY:NVIDIA Lecture: Solving complex\, physics-based problems through\na ccelerating computing solutions CLASS:PUBLIC DESCRIPTION:Tarini Bhatnagar\, Senior Solutions Architect at NVIDIA\, will lead the\nNVIDIA Lecture hosted by Math Innovation\, with support from MFC F\, on\nFebruary 12\, 2025\, from 10:00-11:00am in MC 5501. Tarini\, who h olds a\nMaster’s in Data Science and Earth & Environmental Science\, sup ports\ntechnical customer engagements in Western Canada\, helping\norganiz ations adopt NVIDIA technology. She is actively involved with\nseveral or ganizations to foster a supportive community for women in\ntech. The lect ure will focus on NVIDIA Modulus\, an open-source\nframework for developin g physics-informed neural networks (PINNs).\nStudents passionate about AI\ , Machine Learning\, and Computational\nPhysics will explore how Modulus s olves complex\, physics-based\nproblems through AI. The lecture will intro duce solving complex\,\nphysics-based problems using accelerated computing solutions and\nAI. Registration is required\n[https://www.ticketfi.com/e vent/6094/nvidia-lecture-solving-physics-problems-with-accelerated-computi ng].\nQuestions can be directed to Alexandra Kraushaar in the Math\nInno vation Office. DTSTAMP:20260405T082926Z END:VEVENT BEGIN:VEVENT UID:69d21d667ad79 DTSTART;TZID=America/Toronto:20250204T100000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20250204T110000 URL:https://uwaterloo.ca/math-faculty-computing-facility/events/nvidia-lect ure-tools-safety-and-security-large-language LOCATION:MC - Mathematics & Computer Building 200 University Avenue West MC 5501 Waterloo ON N2L 3G1 Canada SUMMARY:NVIDIA Lecture: Tools for safety and security in Large Language Mod els CLASS:PUBLIC DESCRIPTION:Christopher Parisien\, Senior Manager of Applied Research at NV IDIA\,\nwill deliver the NVIDIA Lecture hosted by Math Innovation\, with\n support from MFCF\, on February 4\, 2025\, from 10:00-11:00am in MC 5501.\ nA UW grad (BMath '06) with a PhD in Computational Linguistics from the\nU niversity of Toronto. During his time in industry\, he helped build\nthe first generation of mainstream chatbots\, developed systems to\nunderstand medical records\, and served as Chief Technology Officer at\nNexJ Health\ , a patient-centred health platform. His current focus at\nNVIDIA is to br ing trustworthy language models to large\nenterprises. The lecture will i ntroduce NeMo Guardrails' key\nfunctionalities\, emphasizing responsible A I development. Students\ninterested in AI\, Machine Learning\, and Foundat ion Models can gain\ninsights into creating reliable AI solutions. Regist ration is\nrequired\n[https://www.ticketfi.com/event/6093/nvidia-lecture-s afety-security-tools-for-llms].\nQuestions can be directed to Alexandra K raushaar in the Math\nInnovation Office. DTSTAMP:20260405T082926Z END:VEVENT BEGIN:VEVENT UID:69d21d667bf47 DTSTART;TZID=America/Toronto:20231006T133000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20231006T150000 URL:https://uwaterloo.ca/math-faculty-computing-facility/events/scientific- blogging-r-and-blogdown LOCATION:MC - Mathematics & Computer Building 200 University Avenue West MC 3006 Waterloo ON N2L 3G1 Canada SUMMARY:Scientific Blogging with R and Blogdown CLASS:PUBLIC DESCRIPTION:MATH FACULTY COMPUTING FACILITY PRESENTS……..\n\nCOMPUTING S ESSION FOR MATH GRADS - SCIENTIFIC BLOGGING WITH R AND\nBLOGDOWN\n\nImprov e your science communication and share your work by learning how\nto host a static blog at UW which includes MathTeX\, code and\nvisualizations\n\nF riday\, October 6\, 2023\n\n1:30-3:00\n\nMC3006\n\n(limited seating)\n\nRS VP to mfcfhelp@uwaterloo.ca\n\nAgenda: Presentation by Aiden Huffman\, App lied Math followed by a\nhands-on session. DTSTAMP:20260405T082926Z END:VEVENT END:VCALENDAR