Talks | Parallel Computing

@misc{24:brescia:swiss:talk,

title = {Secure workflow computation},

author = {Lorenzo Brescia},

url = {https://datacloud.di.unito.it/index.php/s/5nwZ2bi7by3twQB},

year  = {2024},

date = {2024-11-01},

address = {Neuchatel, Switzerland},

howpublished = {Presentation of previous works and future directions on securing workflows},

keywords = {confidential, icsc},

pubstate = {published},

tppubtype = {misc}

}

@misc{24:garcia:bigHPC:talk,

title = {Assessing Large Language Models Inference Performance on a 64-core RISC-V CPU with Silicon-Enabled Vectors},

author = {Adriano Marques Garcia},

url = {https://datacloud.di.unito.it/index.php/s/eN6Z62RQr2QsRYa},

year  = {2024},

date = {2024-09-01},

address = {Pisa, Italy},

howpublished = {Proceedings of BigHPC2024: Special Track on Big Data and High-Performance Computing, co-located with the 3textsuperscriptrd Italian Conference on Big Data and Data Science, ITADATA2024},

keywords = {confidential, icsc},

pubstate = {published},

tppubtype = {misc}

}

@misc{24:brescia:bigHPC:talk,

title = {Performance Analysis on DNA Alignment Workload with Intel SGX Multithreading},

author = {Lorenzo Brescia},

url = {https://datacloud.di.unito.it/index.php/s/wqgYiKpHBw5zbSa},

year  = {2024},

date = {2024-09-01},

address = {Pisa, Italy},

howpublished = {Proceedings of BigHPC2024: Special Track on Big Data and High-Performance Computing, co-located with the 3textsuperscriptrd Italian Conference on Big Data and Data Science, ITADATA2024},

keywords = {confidential, icsc},

pubstate = {published},

tppubtype = {misc}

}

@misc{24:brescia:hpc:school:talk,

title = {Towards Secure WMS with TEEs},

author = {Lorenzo Brescia},

url = {https://datacloud.di.unito.it/index.php/s/eAxEgqiTsGSRQz4},

year  = {2024},

date = {2024-06-01},

address = {Trento, Italy},

howpublished = {Mentoring session: HPC Summer School, university of Trento},

keywords = {confidential, icsc},

pubstate = {published},

tppubtype = {misc}

}

@misc{23:brescia:wide:talk,

title = {Secure Generic Remote Workflow Execution with TEEs},

author = {Lorenzo Brescia},

url = {https://datacloud.di.unito.it/index.php/s/Prxq6EWGbcN8sWx},

year  = {2024},

date = {2024-04-01},

address = {Athens, Greece},

abstract = {In scientific environments, the frequent need to process substantial volumes of data poses a common challenge. Individuals tasked with executing these computations frequently encounter a deficit in local computational resources, leading them to opt for the facilities of a Cloud Service Provider (CSP) for data processing. However, the data subjected to these calculations may be subject to confidentiality constraints. This paper introduces a proof-of-concept framework that leverages Gramine LibOS and Intel SGX, enabling the protection of generic remote workflow computations through SGX enclaves as Trusted Execution Environments (TEEs). The framework entails the delineation of user and CSP behavior and has been implemented using Bash scripts. Furthermore, an infrastructure has been designed for the Data Center Attestation Primitives (DCAP) remote attestation mechanism, wherein the user gains trust in the proper instantiation of the enclave within the CSP. To assess the framework efficacy, it has been tested on two distinct workflows, one trivial and the other involving real-world bioinformatics applications for processing DNA data. The performance study revealed that the framework incurred an acceptable overhead, ranging from a factor of x1.4 to x1.8 compared to unsafe execution practice.},

howpublished = {Proceedings of the 2nd Workshop on Workflows in Distributed Environments},

keywords = {confidential, icsc},

pubstate = {published},

tppubtype = {misc}

}

@misc{23:brescia:trusted:workflow:fl4:talk,

title = {Trusted Computing at Scale},

author = {Lorenzo Brescia and Iacopo Colonnelli},

url = {https://datacloud.di.unito.it/index.php/s/5ij6tLd5SAX4Nn4},

year  = {2023},

date = {2023-12-01},

address = {Turin, Italy},

howpublished = {CN HPC Flagship 4 Working Day},

keywords = {confidential, icsc},

pubstate = {published},

tppubtype = {misc}

}