Media Summary: Speaker: Maryam Mehri Dehnavi Venue: SPCL_Bcast, recorded on 22 April, 2021 Abstract: Sparse matrix methods are at the ... Speaker: Petar Veličković Venue: SPCL_Bcast , recorded on 21st March, 2024 Abstract: What makes a neural network better, ... Presenter(s): Hasan Siraj, Head of Software Products, Broadcom As AI models continue to grow in complexity- both training and ...

Spcl Bcast Inspecting Irregular Computation Patterns To Generate Fast Code - Detailed Analysis & Overview

Speaker: Maryam Mehri Dehnavi Venue: SPCL_Bcast, recorded on 22 April, 2021 Abstract: Sparse matrix methods are at the ... Speaker: Petar Veličković Venue: SPCL_Bcast , recorded on 21st March, 2024 Abstract: What makes a neural network better, ... Presenter(s): Hasan Siraj, Head of Software Products, Broadcom As AI models continue to grow in complexity- both training and ... Speaker: Mary Hall Venue: SPCL_Bcast, recorded on 2 June, 2022 Abstract: This video is part of an online course, Intro to Parallel Programming. Check out the course here: ... Python Concurrency Explained AsyncIO, Event Loop & Parallelism Modern applications don't run one task at a time. They handle ...

--- Can std::expected with Monadic Operations REALLY Boost Your C++ Today, most HPC systems on the TOP500 are examples of a commodity monoculture, built from nodes containing server-class ... SC21 panel: DescriptionFPGAs have gone from niche ... Author: Xuan Tang, Teseo Schneider, Shoaib Kamil, Aurojit Panda, Jinyang Li, and Daniele Panozzo Conference: ... If your test tools have a USB or LAN port, there is a good chance that they support SCPI (Standard Commands for Programmable ... Speaker: Daniele De Sensi Venue: Supercomputing 2021 Abstract: The allreduce operation is one of the most commonly used ...

Presenter: Thomas Letan Presented at CPP'20, colocated with POPL 2020.

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[SPCL_Bcast] Inspecting Irregular Computation Patterns to Generate Fast Code
[SPCL_Bcast #46] Capturing Computation with Algorithmic Alignment
Distributed Computing @ Scale for AI Training & Inference
[SPCL_Bcast] Co-Optimization of Computation and Data Layout to Optimize Data Movement
Blelloch Scan - Intro to Parallel Programming
Concurrency Patterns That Scale: From Basics to Production
Can std::expected with Monadic Operations REALLY Boost Your C++ Code Performance? - Vitaly Fanaskov
#SC22 panel - Reinventing High-Performance Computing
#SC21 panel talk: Successful FPGA Programming Methods and Tools for HPC
SGP 2020: EGGS: Sparsity Specific Code Generation
Use PyVISA to Program Test Tools with Python - Workbench Wednesdays
Flare: Flexible In-Network Allreduce
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[SPCL_Bcast] Inspecting Irregular Computation Patterns to Generate Fast Code

[SPCL_Bcast] Inspecting Irregular Computation Patterns to Generate Fast Code

Speaker: Maryam Mehri Dehnavi Venue: SPCL_Bcast, recorded on 22 April, 2021 Abstract: Sparse matrix methods are at the ...

[SPCL_Bcast #46] Capturing Computation with Algorithmic Alignment

[SPCL_Bcast #46] Capturing Computation with Algorithmic Alignment

Speaker: Petar Veličković Venue: SPCL_Bcast #46, recorded on 21st March, 2024 Abstract: What makes a neural network better, ...

Distributed Computing @ Scale for AI Training & Inference

Distributed Computing @ Scale for AI Training & Inference

Presenter(s): Hasan Siraj, Head of Software Products, Broadcom As AI models continue to grow in complexity- both training and ...

[SPCL_Bcast] Co-Optimization of Computation and Data Layout to Optimize Data Movement

[SPCL_Bcast] Co-Optimization of Computation and Data Layout to Optimize Data Movement

Speaker: Mary Hall Venue: SPCL_Bcast, recorded on 2 June, 2022 Abstract:

Blelloch Scan - Intro to Parallel Programming

Blelloch Scan - Intro to Parallel Programming

This video is part of an online course, Intro to Parallel Programming. Check out the course here: ...

Sponsored
Concurrency Patterns That Scale: From Basics to Production

Concurrency Patterns That Scale: From Basics to Production

Python Concurrency Explained | AsyncIO, Event Loop & Parallelism Modern applications don't run one task at a time. They handle ...

Can std::expected with Monadic Operations REALLY Boost Your C++ Code Performance? - Vitaly Fanaskov

Can std::expected with Monadic Operations REALLY Boost Your C++ Code Performance? - Vitaly Fanaskov

https://cppcon.org --- Can std::expected with Monadic Operations REALLY Boost Your C++

#SC22 panel - Reinventing High-Performance Computing

#SC22 panel - Reinventing High-Performance Computing

Today, most HPC systems on the TOP500 are examples of a commodity monoculture, built from nodes containing server-class ...

#SC21 panel talk: Successful FPGA Programming Methods and Tools for HPC

#SC21 panel talk: Successful FPGA Programming Methods and Tools for HPC

SC21 panel: https://sc21.supercomputing.org/presentation/?id=bof126&sess=sess371 DescriptionFPGAs have gone from niche ...

SGP 2020: EGGS: Sparsity Specific Code Generation

SGP 2020: EGGS: Sparsity Specific Code Generation

Author: Xuan Tang, Teseo Schneider, Shoaib Kamil, Aurojit Panda, Jinyang Li, and Daniele Panozzo Conference: ...

Use PyVISA to Program Test Tools with Python - Workbench Wednesdays

Use PyVISA to Program Test Tools with Python - Workbench Wednesdays

If your test tools have a USB or LAN port, there is a good chance that they support SCPI (Standard Commands for Programmable ...

Flare: Flexible In-Network Allreduce

Flare: Flexible In-Network Allreduce

Speaker: Daniele De Sensi Venue: Supercomputing 2021 Abstract: The allreduce operation is one of the most commonly used ...

FreeSpec: Specifying, Verifying, and Executing Impure Computations in Coq

FreeSpec: Specifying, Verifying, and Executing Impure Computations in Coq

Presenter: Thomas Letan Presented at CPP'20, colocated with POPL 2020.