1 citations · 1 across the 6 of their papers we have counts for
7 papers
Multi-bit Ferroelectric-NAND for High-throughput Massive Database Search
Prasanna Venkatesan, Tanvir H. Pantha, Po-Kai Hsu +28
The growing demand for large-scale database search in data-intensive applications, ranging from proteomics to autonomous systems, has exposed fundamental limitations in von Neumann…
Cross-Domain Acceleration of Open Modification Search: From Commodity Platforms to Emerging Memory and Storage Devices
Sumukh Pinge, Chang Eun Song, Po-Kai Hsu +10
Open modification search (OMS) in mass spectrometry (MS) is a data-intensive workload whose performance is dominantly limited by reference data movement rather than computation. Pr…
Compiler-Driven Approximation Tuning for Hyperdimensional Computing
Xavier Routh, Abdul Rafae Noor, Akash Kothari +4
As Moore's law reaches its physical and economic limits, domain-specific approaches are increasingly employed to accelerate machine learning workloads. Hyperdimensional Computing (…
PIM-FW: Hardware-Software Co-Design of All-pairs Shortest Paths in DRAM
Tsung-Han Lu, Zheyu Li, Minxuan Zhou +1
All-pairs shortest paths (APSP) is a fundamental algorithm used for routing, logistics, and network analysis, but the cubic time complexity and heavy data movement of the canonical…
Cross-Layer Co-Designed In-Memory Hyperdimensional Computing Accelerator for Proteomics at the Edge
Md Mizanur Rahaman Nayan, Zheyu Li, Flavio Ponzina +4
Database (DB) search and clustering are fundamental to data-analytics workloads such as mass spectrometry-driven proteomics. Current workflows rely on resource-intensive search and…
FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash
Sumukh Pinge, Ashkan Moradifirouzabadi, Keming Fan +29
The rapid expansion of mass spectrometry (MS) data, now exceeding hundreds of terabytes, poses significant challenges for efficient, large-scale library search - a critical compone…
SpecPCM: A Low-power PCM-based In-Memory Computing Accelerator for Full-stack Mass Spectrometry Analysis
Keming Fan, Ashkan Moradifirouzabadi, Xiangjin Wu +6
Mass spectrometry (MS) is essential for proteomics and metabolomics but faces impending challenges in efficiently processing the vast volumes of data. This paper introduces SpecPCM…