activity
20162026
most citedSMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations

81 citations · 150 across the 48 of their papers we have counts for

collaborators
Showing cs.DCShow all

5 papers · 1 filter

cs.DC2026

CRAFT: Fine-Grained Cost-Aware Expert Replication For Efficient Mixture-of-Experts Serving

Adrian Zhao, Zhenkun Cai, Zhenyu Song +5

Mixture-of-Experts (MoE) has recently emerged as the mainstream architecture for efficiently scaling large language models while maintaining near-constant computational cost. Exper…

cs.DC2019★ 1 cited

Enhancing Programmability, Portability, and Performance with Rich Cross-Layer Abstractions

Nandita Vijaykumar

Programmability, performance portability, and resource efficiency have emerged as critical challenges in harnessing complex and diverse architectures today to obtain high performan…

cs.DC2019★ 81 cited

SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations

Konstantinos Kanellopoulos, Nandita Vijaykumar, Christina Giannoula +6

Important workloads, such as machine learning and graph analytics applications, heavily involve sparse linear algebra operations. These operations use sparse matrix compression as…

cs.DC2018

Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance

Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko +6

The application resource specification--a static specification of several parameters such as the number of threads and the scratchpad memory usage per thread block--forms a critica…

cs.DC2018

Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management

Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko +5

The application resource specification--a static specification of several parameters such as the number of threads and the scratchpad memory usage per thread block--forms a critica…