PULSAR: Simultaneous Many-Row Activation for Reliable and High-Performance Computing in Off-the-Shelf DRAM Chips

Fuente: arXiv
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Auteurs principaux: Yuksel, Ismail Emir, Tugrul, Yahya Can, Bostanci, F. Nisa, Yaglikci, Abdullah Giray, Olgun, Ataberk, Oliveira, Geraldo F., Soysal, Melina, Luo, Haocong, Luna, Juan Gomez, Sadrosadati, Mohammad, Mutlu, Onur
Format: Preprint
Publié: 2023
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author Yuksel, Ismail Emir
Tugrul, Yahya Can
Bostanci, F. Nisa
Yaglikci, Abdullah Giray
Olgun, Ataberk
Oliveira, Geraldo F.
Soysal, Melina
Luo, Haocong
Luna, Juan Gomez
Sadrosadati, Mohammad
Mutlu, Onur
author_facet Yuksel, Ismail Emir
Tugrul, Yahya Can
Bostanci, F. Nisa
Yaglikci, Abdullah Giray
Olgun, Ataberk
Oliveira, Geraldo F.
Soysal, Melina
Luo, Haocong
Luna, Juan Gomez
Sadrosadati, Mohammad
Mutlu, Onur
contents Data movement between the processor and the main memory is a first-order obstacle against improving performance and energy efficiency in modern systems. To address this obstacle, Processing-using-Memory (PuM) is a promising approach where bulk-bitwise operations are performed leveraging intrinsic analog properties within the DRAM array and massive parallelism across DRAM columns. Unfortunately, 1) modern off-the-shelf DRAM chips do not officially support PuM operations, and 2) existing techniques of performing PuM operations on off-the-shelf DRAM chips suffer from two key limitations. First, these techniques have low success rates, i.e., only a small fraction of DRAM columns can correctly execute PuM operations because they operate beyond manufacturer-recommended timing constraints, causing these operations to be highly susceptible to noise and process variation. Second, these techniques have limited compute primitives, preventing them from fully leveraging parallelism across DRAM columns and thus hindering their performance benefits. We propose PULSAR, a new technique to enable high-success-rate and high-performance PuM operations in off-the-shelf DRAM chips. PULSAR leverages our new observation that a carefully crafted sequence of DRAM commands simultaneously activates up to 32 DRAM rows. PULSAR overcomes the limitations of existing techniques by 1) replicating the input data to improve the success rate and 2) enabling new bulk bitwise operations (e.g., many-input majority, Multi-RowInit, and Bulk-Write) to improve the performance. Our analysis on 120 off-the-shelf DDR4 chips from two major manufacturers shows that PULSAR achieves a 24.18% higher success rate and 121% higher performance over seven arithmetic-logic operations compared to FracDRAM, a state-of-the-art off-the-shelf DRAM-based PuM technique.
format Preprint
id arxiv_https___arxiv_org_abs_2312_02880
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle PULSAR: Simultaneous Many-Row Activation for Reliable and High-Performance Computing in Off-the-Shelf DRAM Chips
Yuksel, Ismail Emir
Tugrul, Yahya Can
Bostanci, F. Nisa
Yaglikci, Abdullah Giray
Olgun, Ataberk
Oliveira, Geraldo F.
Soysal, Melina
Luo, Haocong
Luna, Juan Gomez
Sadrosadati, Mohammad
Mutlu, Onur
Hardware Architecture
Distributed, Parallel, and Cluster Computing
Data movement between the processor and the main memory is a first-order obstacle against improving performance and energy efficiency in modern systems. To address this obstacle, Processing-using-Memory (PuM) is a promising approach where bulk-bitwise operations are performed leveraging intrinsic analog properties within the DRAM array and massive parallelism across DRAM columns. Unfortunately, 1) modern off-the-shelf DRAM chips do not officially support PuM operations, and 2) existing techniques of performing PuM operations on off-the-shelf DRAM chips suffer from two key limitations. First, these techniques have low success rates, i.e., only a small fraction of DRAM columns can correctly execute PuM operations because they operate beyond manufacturer-recommended timing constraints, causing these operations to be highly susceptible to noise and process variation. Second, these techniques have limited compute primitives, preventing them from fully leveraging parallelism across DRAM columns and thus hindering their performance benefits. We propose PULSAR, a new technique to enable high-success-rate and high-performance PuM operations in off-the-shelf DRAM chips. PULSAR leverages our new observation that a carefully crafted sequence of DRAM commands simultaneously activates up to 32 DRAM rows. PULSAR overcomes the limitations of existing techniques by 1) replicating the input data to improve the success rate and 2) enabling new bulk bitwise operations (e.g., many-input majority, Multi-RowInit, and Bulk-Write) to improve the performance. Our analysis on 120 off-the-shelf DDR4 chips from two major manufacturers shows that PULSAR achieves a 24.18% higher success rate and 121% higher performance over seven arithmetic-logic operations compared to FracDRAM, a state-of-the-art off-the-shelf DRAM-based PuM technique.
title PULSAR: Simultaneous Many-Row Activation for Reliable and High-Performance Computing in Off-the-Shelf DRAM Chips
topic Hardware Architecture
Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2312.02880