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Mon, 8 Apr 2024 05:28:45 +0000 From: Remo Andreoli To: "freebsd-virtualization@freebsd.org" Subject: VHPC'24 - 19th Virtualization in High-Performance Cloud Computing Workshop - Call for Papers Thread-Topic: VHPC'24 - 19th Virtualization in High-Performance Cloud Computing Workshop - Call for Papers Thread-Index: AQHaiXSHoQus6E9gbkqW8JI/yqU45LFd1zHOgAAAs8qAAABHbw== Date: Mon, 8 Apr 2024 05:28:45 +0000 Message-ID: References: In-Reply-To: Accept-Language: en-GB, en-US Content-Language: en-GB X-MS-Has-Attach: X-MS-TNEF-Correlator: msip_labels: x-ms-publictraffictype: Email x-ms-traffictypediagnostic: DB6PR03MB3109:EE_|PR3PR03MB6457:EE_ x-ms-exchange-senderadcheck: 1 x-ms-exchange-antispam-relay: 0 x-microsoft-antispam: BCL:0; x-microsoft-antispam-message-info: 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 x-forefront-antispam-report: CIP:255.255.255.255;CTRY:;LANG:en;SCL:1;SRV:;IPV:NLI;SFV:NSPM;H:DB6PR03MB3109.eurprd03.prod.outlook.com;PTR:;CAT:NONE;SFS:(13230031)(376005)(1800799015)(366007);DIR:OUT;SFP:1102; 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Papers due: May 6th. The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) aims to bring together researchers and industrial practiti= oners facing the challenges posed by virtualization in HPC/Cloud scenarios = in order to foster discussion, collaboration, mutual exchange of knowledge = and experience, enabling research to ultimately provide novel solutions for= virtualized computing systems. The workshop features paper presentations, = discussion sessions, and lightning talks. Accepted papers will be published= in a Springer LNCS volume (indexed by Scopus and others). Focus Topics This year, we are calling the timely topic of virtualization in support of = high-memory LLM training workloads including, but not limited to: * GPU hypervisor memory virtualization: Techniques for virtualizing GPU= memory to allow flexible and efficient allocation across multiple workload= s, enabling higher utilization of GPU resources * Flat CPU/GPU memory page tables/TLB: Unified virtual memory spaces an= d page table structures that allow both GPUs to address CPU memory mapped t= o accelerator global memory space * Storage/filesystem to virtual memory mapped approaches * Distributed memory virtualization * Memory compression and reduction techniques: approaches for compressi= ng model parameters, activations, and gradients to reduce memory requiremen= ts during training * Out-of-core training algorithms * Efficient memory allocation and management: Techniques for optimizing= memory allocation, reducing fragmentation, and improving memory utilizatio= n during training * Memory-efficient data formats and processing: Data formats and proces= sing techniques that minimize memory overhead while maintaining training ef= ficiency * Benchmarking and profiling tools: Tools and methodologies for measuri= ng, analyzing, and optimizing memory usage in LLM training workloads * Case studies and applications: Real-world examples and applications o= f virtualization techniques in LLM training scenarios In addition to regular topics: * Container Platforms (Kubernetes, Docker, Nitro/Firecracker, Singulari= ty, Shifter, rkt, =85) and Unikernel Frameworks * Composable Lightweight Application Components and Lambda / Function-a= s-a-Service Paradigms * Latency Control, Warm/Cold-start issues and Data/Container Placement = in Heterogeneous HPC Virtualized Environments * Energy-efficiency and Service Orchestration in Virtualized Cloud & HP= C Infrastructures The call for papers is also available in PDF Format. The workshop will be composed of 20 min paper presentations,= each followed by 10 min discussion sessions, plus lightning talks that are= limited to 5 minutes. Presentations may be accompanied by interactive demo= nstrations. For more information and detailed paper submission instructions= , refer to the VHPC'24 webpage. Important Dates (AoE) * May 6th, 2024: Paper submission deadline (Springer LNCS) * Jun 20th, 2024: Acceptance notification * Jul 1st, 2024: Camera-ready version due * Aug 26th-27th, 2024: Workshop Day General Chairs * Michael Alexander, Institute of Science and Technology, Austria * Anastassios Nanos, Nubificus Ltd., UK * Tommaso Cucinotta, Scuola Superiore Sant'Anna, Italy Publicity Chairs * Remo Andreoli, Scuola Superiore Sant'Anna, Italy General Information The workshop will be held in conjuction with the International European Con= ference on Parallel and Distributed Computing (Euro-Par 2024), on Aug 26th-27th, 2024, in Madrid, Spain. The VHPC co-chairs --_000_DB6PR03MB3109F21A556012D57A1825A7E7002DB6PR03MB3109eurp_ Content-Type: text/html; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable
 

VHPC'24: August 26th-27th, Madrid, Spain, co-located with Eur= o-Par 2024. Papers due: May 6th.


The Workshop on Virtualization in High-Performance Clo= ud Computing (VHPC= ) aims to bring together researchers and industrial practitioners facing the= challenges posed by virtualization in HPC/Cloud scenarios in order to fost= er discussion, collaboration, mutual exchange of knowledge and experience, = enabling research to ultimately provide novel solutions for virtualized computing systems. The workshop fe= atures paper presentations, discussion sessions, and lightning talks. Accep= ted papers will be published in a Springer LNCS volume (indexed by Scopus a= nd others).

Focus Topics

This year, we are calling the timely topic of virtuali= zation in support of high-memory LLM training workloads including, but not = limited to:

  • GPU hypervisor memory virtualization: Techniques for v= irtualizing GPU memory to allow flexible and efficient allocation across mu= ltiple workloads, enabling higher utilization of GPU resources
  • Flat CPU/GPU memory page tables/TLB: Unified virtual m= emory spaces and page table structures that allow both GPUs to address CPU = memory mapped to accelerator global memory space
  • Storage/filesystem to virtual memory mapped approaches=
  • Distributed memory virtualization
  • Memory compression and reduction techniques: approache= s for compressing model parameters, activations, and gradients to reduce me= mory requirements during training
  • Out-of-core training algorithms
  • Efficient memory allocation and management: Techniques= for optimizing memory allocation, reducing fragmentation, and improving me= mory utilization during training
  • Memory-efficient data formats and processing: Data for= mats and processing techniques that minimize memory overhead while maintain= ing training efficiency
  • Benchmarking and profiling tools: Tools and methodolog= ies for measuring, analyzing, and optimizing memory usage in LLM training w= orkloads
  • Case studies and applications: Real-world examples and= applications of virtualization techniques in LLM training scenarios=
In addition to regular topics:
  • Container Platforms (Kubernetes, Docker, Nitro/Firecra= cker, Singularity, Shifter, rkt, =85) and Unikernel Frameworks
    • <= li style=3D"font-family: "Times New Roman"; font-size: 12pt; colo= r: rgb(0, 0, 0); direction: ltr;"> Composable Lightweight Application Components and Lamb= da / Function-as-a-Service Paradigms
  • Latency Control, Warm/Cold-start issues and Data/Conta= iner Placement in Heterogeneous HPC Virtualized Environments
    • Energy-efficiency and Service Orchestration in Virtual= ized Cloud & HPC Infrastructures
The call for papers is also available in PDF Format. The workshop will be composed of 20 min paper presentations= , each followed by 10 min discussion sessions, plus lightning talks that ar= e limited to 5 minutes. Presentations may be accompanied by interactive dem= onstrations. For more information and detailed paper submission instructions, refer to the VHPC'24 webpage.

Important Dates (AoE)

  • May 6th, 2024: Paper submission deadline (Sprin= ger LNCS)
  • Jun 20th, 2024: Acceptance notification<= /li>
  • Jul 1st, 2024: Camera-ready version due<= /li>
  • Aug 26th-27th, 2024: Workshop Day

    • General Chairs

    • Michael Alexander, Institute of Science and Technology= , Austria
    • Anastassios Nanos, Nubificus Ltd., UK
    • Tommaso Cucinotta, Scuola Superiore Sant'Anna, Italy

    Publicity Chairs

    • Remo Andreoli, Scuola Superiore Sant'Anna, Italy

    General Information

    The workshop will be held in conjuction with the International European Conference on Parallel and Distributed Computing (Eu= ro-Par 2024), on Aug 26th-27th, 2024, in Madrid, Spain.


    The VHPC co-chairs

    --_000_DB6PR03MB3109F21A556012D57A1825A7E7002DB6PR03MB3109eurp_--