万能加速器官方版下载-outline

Rachit Nigam is a PhD student studying computer science at Cornell University. He is a part of the PL@Cornell and CAPRA research groups and is advised by Adrian Sampson. He leads the Dahlia project and is interested tools and languages for hardware design. He previously worked in the PLASMA research group at the University of Massachusetts Amherst with pp加速器安卓.

万能加速器官方版下载-outline

May ’20 - Presented Dahlia at PLDI ‘20, University of Washington, University of California Berkeley, Imperial College London and Stanford University.
Apr ’20 - Work-in-progress paper on Diospyros accepted to LCTES.
Apr ’20 - Finalist for the Qualcomm Fellowship with Alexa VanHattum.
Mar ’20 - Dahlia was accepted to PLDI 2024.
Feb ’20 - Member of the PLDI 2024 Artifact Evaluation Committee.

More news

万能加速器官方版下载-outline

Predictable Accelerator Design with Time-Sensitive Affine types

Predictable design of FPGA accelerators using time-sensitive affine types.

pp加速器国际版, Sachille Atapattu, Samuel Thomas, Zhijing Li, 粉色app加速器, Yuwei Ye, Apurva Koti, Adrian Sampson, Zhiru Zhang • pp加速器安卓

PDF Code Slides Demo Talk (short) Talk (long)

Putting in All the Stops: Execution Control for JavaScript

Bringing debugging abstractions to the web using first-class continuations in JavaScript.

Sam Baxter, Rachit Nigam, Joe Gibbs Politz, pp加速器国际版, Arjun Guha • 蚂蚁app加速器

PDF 旋风app加速器 Video Demo

All Publications

万能加速器官方版下载-outline

Compiling for the Reconfigurable Future

PhD student laments that computers are not fast enough.

Apr 16, 2024 7 min read

万能加速器官方版下载-outline

PhD student revels in nostalgia.

Apr 8, 2024 10 min read

The Cost of Virtualizing CS Conferences

PhD student complaints about not being able to meet his friends during a global pandemic.

Mar 18, 2024 6 min read