Nonvolatile Memory Outlook: Technology Driven or Application Driven? (INVITED)

Accelerating Graph Analytics By Co-Optimizing Storage and Access on an FPGA-HMC Platform

Graph analytics, which explores the relationships among interconnected entities, is becoming increasingly important due to its broad applicability, from machine learning to social sciences. However, due to the irregular data access patterns in graph …

Degree-aware Hybrid Graph Traversal on FPGA-HMC Platform

Graph traversal is a core primitive for graph analytics and a basis for many higher-level graph analysis methods. However, irregularities in the structure of scale-free graphs (e.g., social network) limit our ability to analyze these important and …

Liquid Silicon: A Data-Centric Reconfigurable Architecture enabled by RRAM Technology

This paper presents a data-centric reconfigurable architecture, namely Liquid Silicon, enabled by emerging non-volatile memory, i.e., RRAM. Compared to the heterogeneous architecture of commercial FPGAs, Liquid Silicon is inherently a homogeneous …

RRAM-based reconfigurable in-memory computing architecture with hybrid routing

Recent advances in resistive random-access memory (RRAM) evoke great interests in exploring alternative architectures. One interesting work is a RRAM-based reconfigurable architecture that provides superior programmbility and blurs the boundary …

RRAM-based Reconfigurable In-Memory Computing Architecture with Hybrid Routing (poster)

(Acceptance Rate*: underline29%)

Accelerating Large-Scale Graph Analytics with FPGA and HMC (Poster)

Acceptance rate: underline25%, 32 out of 128

Challenges and Opportunities: From Near-memory Computing to In-memory Computing (INVITED)

The confluence of the recent advances in technology and the ever-growing demand for large-scale data analytics created a renewed interest in a decades-old concept, processing-in-memory (PIM). PIM, in general, may cover a very wide spectrum of compute …

Recent progress in RRAM technology: From compact models to applications (INVITED)

A Mixed-Signal Data-Centric Reconfigurable Architecture Enabled by RRAM Technology (poster)

(Acceptance Rate: underline25%, 25 out of 101)