Presenting at the International Conference on HPC & Simulation (HPCS)

On March 26 at 9:00pm CET / 4:00pm ET, Reservoir Labs’ Dr. Benoit Meister presents recent research on “Trading off Latency for Memory Bandwidth in Spatial Architectures using the Polyhedral Model” at the International Conference on HPC & Simulation (HPCS), during the 3rd Special Session on Compiler Architecture, Design and Optimization (CADO). This event has […]

Presenting at the 11th International Workshop on Polyhedral Compilation Techniques (IMPACT)

On January 20, 2021 at the 11th International Workshop on Polyhedral Compilation Techniques (IMPACT), Reservoir Labs presents its latest paper, “Static Versioning in the Polyhedral Model,” authored by Adithya Dattatri and Dr. Benoit Meister.   This workshop is in conjunction with the High Performance Embedded Architecture and Compilation Conference (HiPEAC 2021). Join us at the […]

Reservoir Labs Presents New Research at IEEE HPEC 2020

The 2020 IEEE High Performance Extreme Computing Conference, happening virtually from September 22 – 24, will feature novel, breakthrough research on an array of Reservoir Labs’ R&D including R-Stream, ENSIGN, and Algorithms. Reservoir engineers will be presenting their findings during the following sessions: Monday, September 21   Session 1-2: High Performance Data Analysis Session (12:30-13:45 […]

Reservoir Labs and Polyhedral Research at IMPACT 2020

On January 22, 2020 at the 10th International Workshop on Polyhedral Compilation Techniques (IMPACT 2020) Reservoir’s Dr. Benoit Meister and University of Strasbourg’s Dr. Philippe Clauss present their research paper “Uniform Random Sampling in Polyhedra“. This presentation is held during Session 3: “Theoretical advances”, at 2:30pm CET (full agenda here). IMPACT is held in conjunction with HiPEAC, taking place […]

Reservoir Labs Presents at HPEC 2019

On September 25 and 26, Reservoir Labs will present five papers at The IEEE 2019 High Performance Exascale Computing Conference (HPEC 2019) on topics of emerging interest including Graphs, Networks & Sparse Data, HPC, Advanced Sensing, and AI. The following papers will be presented: Combinatorial Multigrid: Advanced Preconditioners For Ill-Conditioned Linear SystemsFast Large-Scale Algorithm for Electromagnetic Wave Propagation in 3D Media Fast and […]

Reservoir Labs Presents Polyhedral Tensor Schedulers at 2019 International Conference on High Performance Computing & Simulation

Benoit Meister of Reservoir Labs presents a paper, Polyhedral Tensor Schedulers, during The 17th International Conference on High Performance Computing (HPCS 2019), July 15 – 19, in Dublin, Ireland. This new research allows us to automatically find and generate the complex parallel code needed for computing with tensors.  The technology utilizes the polyhedral model and […]

Reservoir Labs Presents Keynote at IMPACT 2019

On January 23, 2019 Reservoir Labs’ engineer Benoit Meister presents a keynote speech for IMPACT’s 9th International Workshop on Polyhedral Compilation Techniques. The presentation will address the challenges and ideas Reservoir Labs has discovered in the process of targeting Event Driven Tasks in a polyhedral mapper as well as how developers can use the polyhedral […]

Reservoir Labs Presents “Analysis of Explicit vs. Implicit Tasking in OpenMP Using Kripke” at Supercomputing 2018

As part of the 2018 Supercomputing Conference in Dallas, TX, Reservoir Labs is presenting a Workshop entitled “Analysis of Explicit vs. Implicit Tasking in OpenMP Using Kripke“. Reservoir engineers Charles Jin and Muthu Baskaran will discuss Reservoir’s latest research on the advantages of explicit task-based parallelism for real-world applications where the pattern of dependence relations makes […]

Reservoir Labs Presenting at ESPT-2017 (SC17)

We are pleased to announce that Dr. Benoit Pradelle, senior engineer at Reservoir Labs, will present “Polyhedral Optimization of TensorFlow Computation Graphs” at ESPT-2017. The workshop is held in conjunction with SC17 and will take place on November 12 at the Colorado Convention Center in Denver (Rm 506). Polyhedral Optimization of TensorFlow Computation Graphs Benoit […]