Media Summary: Fast Constraint Synthesis for C++ Function Templates (Video, OOPSLA1 2025) Shuo Ding and Qirun Zhang (Georgia Institute of ... In the past decade, Deep Learning (DL) systems have been widely deployed in various application domains to facilitate our daily ... An almost 26-minute unplanned session exploring the additive oscillator in Partials & Discrepancies. This is not a polished ...

Oopsla 25 The Continuous Tensor - Detailed Analysis & Overview

Fast Constraint Synthesis for C++ Function Templates (Video, OOPSLA1 2025) Shuo Ding and Qirun Zhang (Georgia Institute of ... In the past decade, Deep Learning (DL) systems have been widely deployed in various application domains to facilitate our daily ... An almost 26-minute unplanned session exploring the additive oscillator in Partials & Discrepancies. This is not a polished ... MIT 8.962 General Relativity, Spring 2020 Instructor: Scott Hughes View the complete course: Speaker: Mengdi Wu Abstract We introduce Mirage, the first multi-level ... Edge AI is hitting a wall—and it's killing your LLM inference speed and battery life. What if your NPU could finally run practical ...

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[OOPSLA'25] The Continuous Tensor Abstraction: Where Indices are Real
[OOPSLA'25] Fast Constraint Synthesis for C++ Function Templates
[OOPSLA23] Compiling Structured Tensor Algebra
[Sparse'25] Compiling and Compressing Structured Tensors
[OOPSLA] Coverage-guided tensor compiler fuzzing with joint IR-pass mutation
ISCA'25 - Session 5C - ATiM: Autotuning Tensor Programs for Processing-in-DRAM
Partials & Discrepancies | Extremely Long and Incredibly Offhand
ISCA'25 - Session 5B - MeshSlice: Efficient 2D Tensor Parallelism for Distributed DNN Training
3. Tensors continued.
A Multi-Level Superoptimizer for Tensor Programs
Untitled Content #Shorts
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[OOPSLA'25] The Continuous Tensor Abstraction: Where Indices are Real

[OOPSLA'25] The Continuous Tensor Abstraction: Where Indices are Real

The

[OOPSLA'25] Fast Constraint Synthesis for C++ Function Templates

[OOPSLA'25] Fast Constraint Synthesis for C++ Function Templates

Fast Constraint Synthesis for C++ Function Templates (Video, OOPSLA1 2025) Shuo Ding and Qirun Zhang (Georgia Institute of ...

[OOPSLA23] Compiling Structured Tensor Algebra

[OOPSLA23] Compiling Structured Tensor Algebra

Compiling Structured

[Sparse'25] Compiling and Compressing Structured Tensors

[Sparse'25] Compiling and Compressing Structured Tensors

Compiling and Compressing Structured

[OOPSLA] Coverage-guided tensor compiler fuzzing with joint IR-pass mutation

[OOPSLA] Coverage-guided tensor compiler fuzzing with joint IR-pass mutation

In the past decade, Deep Learning (DL) systems have been widely deployed in various application domains to facilitate our daily ...

ISCA'25 - Session 5C - ATiM: Autotuning Tensor Programs for Processing-in-DRAM

ISCA'25 - Session 5C - ATiM: Autotuning Tensor Programs for Processing-in-DRAM

ISCA'

Partials & Discrepancies | Extremely Long and Incredibly Offhand

Partials & Discrepancies | Extremely Long and Incredibly Offhand

An almost 26-minute unplanned session exploring the additive oscillator in Partials & Discrepancies. This is not a polished ...

ISCA'25 - Session 5B - MeshSlice: Efficient 2D Tensor Parallelism for Distributed DNN Training

ISCA'25 - Session 5B - MeshSlice: Efficient 2D Tensor Parallelism for Distributed DNN Training

ISCA'

3. Tensors continued.

3. Tensors continued.

MIT 8.962 General Relativity, Spring 2020 Instructor: Scott Hughes View the complete course: https://ocw.mit.edu/8-962S20 ...

A Multi-Level Superoptimizer for Tensor Programs

A Multi-Level Superoptimizer for Tensor Programs

https://egraphs.org/meeting/2025-10-16-mirage Speaker: Mengdi Wu Abstract We introduce Mirage, the first multi-level ...

Untitled Content #Shorts

Untitled Content #Shorts

Edge AI is hitting a wall—and it's killing your LLM inference speed and battery life. What if your NPU could finally run practical ...