Fredrik Kjolstad

According to our database, Fredrik Kjolstad authored at least 47 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Compilation of Modular and General Sparse Workspaces.

Genghan Zhang, Olivia Hsu, Fredrik Kjolstad

Proc. ACM Program. Lang., 2024

Compiling Recurrences over Dense and Sparse Arrays.

Shiv Sundram, Muhammad Usman Tariq, Fredrik Kjolstad

Proc. ACM Program. Lang., 2024

Automatic Tracing in Task-Based Runtime Systems.

Rohan Yadav, Michael Bauer, David Broman, Michael Garland, Alex Aiken, Fredrik Kjolstad

CoRR, 2024

Composing Distributed Computations Through Task and Kernel Fusion.

Rohan Yadav, Shiv Sundram, Wonchan Lee, Michael Garland, Michael Bauer, Alex Aiken, Fredrik Kjolstad

CoRR, 2024

Scorch: A Library for Sparse Deep Learning.

Bobby Yan, Alexander J. Root, Trevor Gale, David Broman, Fredrik Kjolstad

CoRR, 2024

Onyx: A 12nm 756 GOPS/W Coarse-Grained Reconfigurable Array for Accelerating Dense and Sparse Applications.

Kalhan Koul, Maxwell Strange, Jackson Melchert, Alex Carsello, Yuchen Mei, Olivia Hsu, Taeyoung Kong, Po-Han Chen, Huifeng Ke, Keyi Zhang, Qiaoyi Liu, Gedeon Nyengele, Akhilesh Balasingam, Jayashree Adivarahan, Ritvik Sharma, Zhouhua Xie, Christopher Torng, Joel S. Emer, Fredrik Kjolstad, Mark Horowitz, Priyanka Raina

Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

The Dataflow Abstract Machine Simulator Framework.

Nathan Zhang, Rubens Lacouture, Gina Sohn, Paul Mure, Qizheng Zhang, Fredrik Kjolstad, Kunle Olukotun

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Revet: A Language and Compiler for Dataflow Threads.

Alexander C. Rucker, Shiv Sundram, Coleman Smith, Matthew Vilim, Raghu Prabhakar, Fredrik Kjølstad, Kunle Olukotun

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Onyx: A Programmable Accelerator for Sparse Tensor Algebra.

Kalhan Koul, Maxwell Strange, Jackson Melchert, Alex Carsello, Yuchen Mei, Olivia Hsu, Taeyoung Kong, Po-Han Chen, Huifeng Ke, Keyi Zhang, Qiaoyi Liu, Gedeon Nyengele, Akhilesh Balasingam, Jayashree Adivarahan, Ritvik Sharma, Zhouhua Xie, Christopher Torng, Joel S. Emer, Fredrik Kjolstad, Mark Horowitz, Priyanka Raina

Proceedings of the 36th IEEE Hot Chips Symposium, 2024

2023

Unified Buffer: Compiling Image Processing and Machine Learning Applications to Push-Memory Accelerators.

Qiaoyi Liu, Jeff Setter, Dillon Huff, Maxwell Strange, Kathleen Feng, Mark Horowitz, Priyanka Raina, Fredrik Kjolstad

ACM Trans. Archit. Code Optim., June, 2023

AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers.

Kalhan Koul, Jackson Melchert, Kavya Sreedhar, Leonard Truong, Gedeon Nyengele, Keyi Zhang, Qiaoyi Liu, Jeff Setter, Po-Han Chen, Yuchen Mei, Maxwell Strange, Ross Daly, Caleb Donovick, Alex Carsello, Taeyoung Kong, Kathleen Feng, Dillon Huff, Ankita Nayak, Rajsekhar Setaluri, James Thomas, Nikhil Bhagdikar, David Durst, Zachary Myers, Nestan Tsiskaridze, Stephen Richardson, Rick Bahr, Kayvon Fatahalian, Pat Hanrahan, Clark W. Barrett, Mark Horowitz, Christopher Torng, Fredrik Kjolstad, Priyanka Raina

ACM Trans. Embed. Comput. Syst., March, 2023

Artifact for Mosaic: An Interoperable Compiler for Tensor Algebra.

Manya Bansal, Olivia Hsu, Kunle Olukotun, Fredrik Kjolstad

Dataset, March, 2023

Looplets: A Language For Structured Coiteration (The Artifact).

Willow Ahrens, Daniel Donenfeld, Fredrik Kjolstad, Saman P. Amarasinghe

Dataset, January, 2023

Indexed Streams: A Formal Intermediate Representation for Fused Contraction Programs.

Scott Kovach, Praneeth Kolichala, Tiancheng Gu, Fredrik Kjolstad

Proc. ACM Program. Lang., 2023

Mosaic: An Interoperable Compiler for Tensor Algebra.

Manya Bansal, Olivia Hsu, Kunle Olukotun, Fredrik Kjolstad

Proc. ACM Program. Lang., 2023

Legate Sparse: Distributed Sparse Computing in Python.

Rohan Yadav, Wonchan Lee, Melih Elibol, Manolis Papadakis, Taylor Lee-Patti, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer

Proceedings of the International Conference for High Performance Computing, 2023

Looplets: A Language for Structured Coiteration.

Willow Ahrens, Daniel Donenfeld, Fredrik Kjolstad, Saman P. Amarasinghe

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, 2023

The Sparse Abstract Machine.

Olivia Hsu, Maxwell Strange, Ritvik Sharma, Jaeyeon Won, Kunle Olukotun, Joel S. Emer, Mark A. Horowitz, Fredrik Kjølstad

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

BaCO: A Fast and Portable Bayesian Compiler Optimization Framework.

Erik Orm Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Compiler Support for Sparse Tensor Computations in MLIR.

Aart J. C. Bik, Penporn Koanantakool, Tatiana Shpeisman, Nicolas Vasilache, Bixia Zheng, Fredrik Kjolstad

ACM Trans. Archit. Code Optim., 2022

Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture.

Olivia Hsu, Alexander Rucker, Tian Zhao, Kunle Olukotun, Fredrik Kjolstad

CoRR, 2022

Correct Compilation of Semiring Contractions.

Scott Kovach, Fredrik Kjolstad

CoRR, 2022

SpDISTAL: Compiling Distributed Sparse Tensor Computations.

Rohan Yadav, Alex Aiken, Fredrik Kjolstad

Proceedings of the SC22: International Conference for High Performance Computing, 2022

DISTAL: the distributed tensor algebra compiler.

Rohan Yadav, Alex Aiken, Fredrik Kjolstad

Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

Autoscheduling for sparse tensor algebra with an asymptotic cost model.

Willow Ahrens, Fredrik Kjolstad, Saman P. Amarasinghe

Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

2021

Copy-and-patch compilation: a fast compilation algorithm for high-level languages and bytecode.

Haoran Xu, Fredrik Kjolstad

Proc. ACM Program. Lang., 2021

Compilation of sparse array programming models.

Rawn Henry, Olivia Hsu, Rohan Yadav, Stephen Chou, Kunle Olukotun, Saman P. Amarasinghe, Fredrik Kjolstad

Proc. ACM Program. Lang., 2021

An Asymptotic Cost Model for Autoscheduling Sparse Tensor Programs.

Willow Ahrens, Fredrik Kjolstad, Saman P. Amarasinghe

CoRR, 2021

An Attempt to Generate Code for Symmetric Tensor Computations.

Jessica Shi, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe

CoRR, 2021

Compiling Halide Programs to Push-Memory Accelerators.

Qiaoyi Liu, Dillon Huff, Jeff Setter, Maxwell Strange, Kathleen Feng, Kavya Sreedhar, Ziheng Wang, Keyi Zhang, Mark Horowitz, Priyanka Raina, Fredrik Kjolstad

CoRR, 2021

2020

A sparse iteration space transformation framework for sparse tensor algebra.

Ryan Senanayake, Changwan Hong, Ziheng Wang, Amalee Wilson, Stephen Chou, Shoaib Kamil, Saman P. Amarasinghe, Fredrik Kjolstad

Proc. ACM Program. Lang., 2020

Copy-and-Patch Binary Code Generation.

Haoran Xu, Fredrik Kjolstad

CoRR, 2020

A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra.

Ryan Senanayake, Fredrik Kjolstad, Changwan Hong, Shoaib Kamil, Saman P. Amarasinghe

CoRR, 2020

Sparse Tensor Transpositions.

Suzanne Mueller, Willow Ahrens, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe

Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

Automatic generation of efficient sparse tensor format conversion routines.

Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe

Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020

Creating an Agile Hardware Design Flow.

Rick Bahr, Clark W. Barrett, Nikhil Bhagdikar, Alex Carsello, Ross Daly, Caleb Donovick, David Durst, Kayvon Fatahalian, Kathleen Feng, Pat Hanrahan, Teguh Hofstee, Mark Horowitz, Dillon Huff, Fredrik Kjolstad, Taeyoung Kong, Qiaoyi Liu, Makai Mann, Jackson Melchert, Ankita Nayak, Aina Niemetz, Gedeon Nyengele, Priyanka Raina, Stephen Richardson, Rajsekhar Setaluri, Jeff Setter, Kavya Sreedhar, Maxwell Strange, James Thomas, Christopher Torng, Leonard Truong, Nestan Tsiskaridze, Keyi Zhang

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Tensor Algebra Compilation with Workspaces.

Fredrik Kjolstad, Willow Ahrens, Shoaib Kamil, Saman P. Amarasinghe

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2019

2018

Format abstraction for sparse tensor algebra compilers.

Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe

Proc. ACM Program. Lang., 2018

Unified Sparse Formats for Tensor Algebra Compilers.

Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe

CoRR, 2018

Automatic Generation of Sparse Tensor Kernels with Workspaces.

Fredrik Kjolstad, Shoaib Kamil, Saman P. Amarasinghe

CoRR, 2018

2017

The tensor algebra compiler.

Fredrik Kjolstad, Shoaib Kamil, Stephen Chou, David Lugato, Saman P. Amarasinghe

Proc. ACM Program. Lang., 2017

taco: a tool to generate tensor algebra kernels.

Fredrik Kjolstad, Stephen Chou, David Lugato, Shoaib Kamil, Saman P. Amarasinghe

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

2016

Simit: A Language for Physical Simulation.

Fredrik Kjolstad, Shoaib Kamil, Jonathan Ragan-Kelley, David I. W. Levin, Shinjiro Sueda, Desai Chen, Etienne Vouga, Danny M. Kaufman, Gurtej Kanwar, Wojciech Matusik, Saman P. Amarasinghe

ACM Trans. Graph., 2016

Why New Programming Languages for Simulation?

Gilbert Louis Bernstein, Fredrik Kjolstad

ACM Trans. Graph., 2016

2013

MPI datatype processing using runtime compilation.

Timo Schneider, Fredrik Kjolstad, Torsten Hoefler

Proceedings of the 20th European MPI Users's Group Meeting, 2013

2012

Automatic datatype generation and optimization.

Fredrik Kjolstad, Torsten Hoefler, Marc Snir

Proceedings of the 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2012

2011

Transformation for class immutability.

Fredrik Kjolstad, Danny Dig, Gabriel Acevedo, Marc Snir

Proceedings of the 33rd International Conference on Software Engineering, 2011