Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Tobias Grosser

Associate Professor

University of Cambridge

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom Professors in High Performance Computing High Performance Computing professors in United Kingdom

Articles (21)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (9)

Sanjay Rajopadhye

Colorado State University

UNITED STATES

View details

Marcin Copik

ETH Zürich

SWITZERLAND

View details

Michel Steuwer

Professor, Chair of Compilers and Programming Languages

Technische Universität Berlin

GERMANY

View details

Zhendong Su

Full Professor

ETH Zürich

SWITZERLAND

View details

Benjamin Berkels

Juniorprofessor for Mathematical Image and Signal Processing

Rheinisch Westfälische Technische Hochschule Aachen RWTH Aachen Fakultät für Mathematik Informatik und Naturwissenschaft

GERMANY

View details

Phil Trinder

Professor

University of Glasgow

UNITED KINGDOM

View details

Fredrik Berg Kjolstad

Assistant Professor

Stanford University

UNITED STATES

View details

Andrés Goens

University of Amsterdam

NETHERLANDS

View details

Henk Corporaal

Professor Embedded System Architectures

Eindhoven University of Technology

NETHERLANDS

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Tobias Grosser

Research Interests

Explore related searches

Articles (21)

Introduction to the Special Issue on Open Source Tools for Reconfigurable Devices and Systems

Sound and Complete Solving for Multi-width Parametric Bitvectors via Principled Reductions

An Open-Source-First Approach: Multi-Level Compiler Design for AI and HPC

Corrigendum: Falcon: A Scalable Analytical Cache Model

An MLIR Lowering Pipeline for Stencils at Wafer-Scale

The Configuration Wall: Characterization and Elimination of Accelerator Configuration Overhead

Certified Decision Procedures for Width-Independent Bitvector Predicates

First-Class Verification Dialects for MLIR

Compressed and Parallelized Structured Tensor Algebra

A Multi-level Compiler Backend for Accelerated Micro-kernels Targeting RISC-V ISA Extensions

xDSL: Sidekick Compilation for SSA-Based Compilers

Guided Equality Saturation

Falcon: A Scalable Analytical Cache Model

Fortran performance optimisation and auto-parallelisation by leveraging MLIR-based domain specific abstractions in Flang

OCC: An Automated End-to-End Machine Learning Optimizing Compiler for Computing-In-Memory

Work-Stealing Prefix Scan: Addressing Load Imbalance in Large-Scale Image Registration

Domain-Specific Multi-Level IR Rewriting for GPU: The Open Earth Compiler for GPU-Accelerated Climate Simulation

FPL: Fast Presburger arithmetic through transprecision

Fast linear programming through transprecision computing on small and sparse data

Polyhedral Compilation for Racetrack Memories

Optimization Approach to Accelerator Codesign

Collaborators (9)

Sanjay Rajopadhye

Marcin Copik

Michel Steuwer

Zhendong Su

Benjamin Berkels

Phil Trinder

Fredrik Berg Kjolstad

Andrés Goens

Henk Corporaal

Make your next move.