Fredrik Kjolstad

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 49

Top Topics

Intermediate Representation

Tensor Decomposition

Abstract Machine

Top Venues

Proc. ACM Program. Lang.

Publications

Rohan Yadav, Shiv Sundram, Wonchan Lee, Michael Garland, Michael Bauer, Alex Aiken, Fredrik Kjolstad
Composing Distributed Computations Through Task and Kernel Fusion. CoRR (2024)
Bobby Yan, Alexander J. Root, Trevor Gale, David Broman, Fredrik Kjolstad
Scorch: A Library for Sparse Deep Learning. CoRR (2024)
Genghan Zhang, Olivia Hsu, Fredrik Kjolstad
Compilation of Modular and General Sparse Workspaces. CoRR (2024)
Nathan Zhang, Rubens Lacouture, Gina Sohn, Paul Mure, Qizheng Zhang, Fredrik Kjolstad, Kunle Olukotun
The Dataflow Abstract Machine Simulator Framework. ISCA (2024)
Shiv Sundram, Muhammad Usman Tariq, Fredrik Kjolstad
Compiling Recurrences over Dense and Sparse Arrays. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Genghan Zhang, Olivia Hsu, Fredrik Kjolstad
Compilation of Modular and General Sparse Workspaces. Proc. ACM Program. Lang. 8 (PLDI) (2024)
Rohan Yadav, Michael Bauer, David Broman, Michael Garland, Alex Aiken, Fredrik Kjolstad
Automatic Tracing in Task-Based Runtime Systems. CoRR (2024)
Shiv Sundram, Muhammad Usman Tariq, Fredrik Kjolstad
Compiling Recurrences over Dense and Sparse Arrays. CoRR (2023)
Willow Ahrens, Daniel Donenfeld, Fredrik Kjolstad, Saman P. Amarasinghe
Looplets: A Language for Structured Coiteration. CGO (2023)
Scott Kovach, Praneeth Kolichala, Tiancheng Gu, Fredrik Kjolstad
Indexed Streams: A Formal Intermediate Representation for Fused Contraction Programs. Proc. ACM Program. Lang. 7 (PLDI) (2023)
Erik Orm Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. ASPLOS (4) (2023)
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
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers. ACM Trans. Embed. Comput. Syst. 22 (2) (2023)
Alexander Rucker, Shiv Sundram, Coleman Smith, Matthew Vilim, Raghu Prabhakar, Fredrik Kjolstad, Kunle Olukotun
Revet: A Language and Compiler for Dataflow Threads. CoRR (2023)
Manya Bansal, Olivia Hsu, Kunle Olukotun, Fredrik Kjolstad
Mosaic: An Interoperable Compiler for Tensor Algebra. Proc. ACM Program. Lang. 7 (PLDI) (2023)
Rohan Yadav, Wonchan Lee, Melih Elibol, Manolis Papadakis, Taylor Lee-Patti, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer
Legate Sparse: Distributed Sparse Computing in Python. SC (2023)
Qiaoyi Liu, Jeff Setter, Dillon Huff, Maxwell Strange, Kathleen Feng, Mark Horowitz, Priyanka Raina, Fredrik Kjolstad
Unified Buffer: Compiling Image Processing and Machine Learning Applications to Push-Memory Accelerators. ACM Trans. Archit. Code Optim. 20 (2) (2023)
Aart J. C. Bik, Penporn Koanantakool, Tatiana Shpeisman, Nicolas Vasilache, Bixia Zheng, Fredrik Kjolstad
Compiler Support for Sparse Tensor Computations in MLIR. ACM Trans. Archit. Code Optim. 19 (4) (2022)
Peter Ahrens, Fredrik Kjolstad, Saman P. Amarasinghe
Autoscheduling for sparse tensor algebra with an asymptotic cost model. PLDI (2022)
Rohan Yadav, Alex Aiken, Fredrik Kjolstad
DISTAL: The Distributed Tensor Algebra Compiler. CoRR (2022)
Scott Kovach, Fredrik Kjolstad
Correct Compilation of Semiring Contractions. CoRR (2022)
Willow Ahrens, Daniel Donenfeld, Fredrik Kjolstad, Saman P. Amarasinghe
Looplets: A Language For Structured Coiteration. CoRR (2022)
Erik Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. CoRR (2022)
Aart J. C. Bik, Penporn Koanantakool, Tatiana Shpeisman, Nicolas Vasilache, Bixia Zheng, Fredrik Kjolstad
Compiler Support for Sparse Tensor Computations in MLIR. CoRR (2022)
Rohan Yadav, Alex Aiken, Fredrik Kjolstad
SpDISTAL: Compiling Distributed Sparse Tensor Computations. SC (2022)
Rohan Yadav, Alex Aiken, Fredrik Kjolstad
DISTAL: the distributed tensor algebra compiler. PLDI (2022)
Olivia Hsu, Alexander Rucker, Tian Zhao, Kunle Olukotun, Fredrik Kjolstad
Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture. CoRR (2022)
Rohan Yadav, Alex Aiken, Fredrik Kjolstad
SpDISTAL: Compiling Distributed Sparse Tensor Computations. CoRR (2022)
Olivia Hsu, Maxwell Strange, Jaeyeon Won, Ritvik Sharma, Kunle Olukotun, Joel S. Emer, Mark Horowitz, Fredrik Kjolstad
The Sparse Abstract Machine. CoRR (2022)
Haoran Xu, Fredrik Kjolstad
Copy-and-patch compilation: a fast compilation algorithm for high-level languages and bytecode. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Peter Ahrens, Fredrik Kjolstad, Saman P. Amarasinghe
An Asymptotic Cost Model for Autoscheduling Sparse Tensor Programs. CoRR (2021)
Rawn Henry, Olivia Hsu, Rohan Yadav, Stephen Chou, Kunle Olukotun, Saman P. Amarasinghe, Fredrik Kjolstad
Compilation of sparse array programming models. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Qiaoyi Liu, Dillon Huff, Jeff Setter, Maxwell Strange, Kathleen Feng, Kavya Sreedhar, Ziheng Wang, Keyi Zhang, Mark Horowitz, Priyanka Raina, Fredrik Kjolstad
Compiling Halide Programs to Push-Memory Accelerators. CoRR (2021)
Jessica Shi, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
An Attempt to Generate Code for Symmetric Tensor Computations. CoRR (2021)
Ryan Senanayake, Changwan Hong, Ziheng Wang, Amalee Wilson, Stephen Chou, Shoaib Kamil, Saman P. Amarasinghe, Fredrik Kjolstad
A sparse iteration space transformation framework for sparse tensor algebra. Proc. ACM Program. Lang. 4 (OOPSLA) (2020)
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 J. Thomas, Christopher Torng, Leonard Truong, Nestan Tsiskaridze, Keyi Zhang
Creating an Agile Hardware Design Flow. DAC (2020)
Suzanne Mueller, Peter Ahrens, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Sparse Tensor Transpositions. CoRR (2020)
Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Automatic generation of efficient sparse tensor format conversion routines. PLDI (2020)
Suzanne Mueller, Peter Ahrens, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Sparse Tensor Transpositions. SPAA (2020)
Ryan Senanayake, Fredrik Kjolstad, Changwan Hong, Shoaib Kamil, Saman P. Amarasinghe
A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra. CoRR (2020)
Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Automatic Generation of Efficient Sparse Tensor Format Conversion Routines. CoRR (2020)
Haoran Xu, Fredrik Kjolstad
Copy-and-Patch Binary Code Generation. CoRR (2020)
Fredrik Kjolstad, Peter Ahrens, Shoaib Kamil, Saman P. Amarasinghe
Tensor Algebra Compilation with Workspaces. CGO (2019)
Fredrik Kjolstad, Shoaib Kamil, Saman P. Amarasinghe
Automatic Generation of Sparse Tensor Kernels with Workspaces. CoRR (2018)
Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Format abstraction for sparse tensor algebra compilers. Proc. ACM Program. Lang. 2 (OOPSLA) (2018)
Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
Unified Sparse Formats for Tensor Algebra Compilers. CoRR (2018)
Fredrik Kjolstad, Stephen Chou, David Lugato, Shoaib Kamil, Saman P. Amarasinghe
taco: a tool to generate tensor algebra kernels. ASE (2017)
Fredrik Kjolstad, Shoaib Kamil, Stephen Chou, David Lugato, Saman P. Amarasinghe
The tensor algebra compiler. Proc. ACM Program. Lang. 1 (OOPSLA) (2017)
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
Simit: A Language for Physical Simulation. ACM Trans. Graph. 35 (2) (2016)
Gilbert Louis Bernstein, Fredrik Kjolstad
Why New Programming Languages for Simulation? ACM Trans. Graph. 35 (2) (2016)
Timo Schneider, Fredrik Kjolstad, Torsten Hoefler
MPI datatype processing using runtime compilation. EuroMPI (2013)
Fredrik Kjolstad, Torsten Hoefler, Marc Snir
Automatic datatype generation and optimization. PPOPP (2012)
Fredrik Kjolstad, Danny Dig, Gabriel Acevedo, Marc Snir
Transformation for class immutability. ICSE (2011)