73 citations · 182 across the 17 of their papers we have counts for
8 papers · 1 filter
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators
Aditya Manglik, Minesh Patel, Haiyu Mao +4
Resistive Random-Access Memory (RRAM) is well-suited to accelerate neural network (NN) workloads as RRAM-based Processing-in-Memory (PIM) architectures natively support highly-para…
RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory
Nika Mansouri Ghiasi, Mohammad Sadrosadati, Geraldo F. Oliveira +9
Recent nano-technological advances enable the Monolithic 3D (M3D) integration of multiple memory and logic layers in a single chip, allowing for fine-grained connections between la…
Flash-Cosmos: In-Flash Bulk Bitwise Operations Using Inherent Computation Capability of NAND Flash Memory
Jisung Park, Roknoddin Azizi, Geraldo F. Oliveira +6
Bulk bitwise operations, i.e., bitwise operations on large bit vectors, are prevalent in a wide range of important application domains, including databases, graph processing, genom…
Morpheus: Extending the Last Level Cache Capacity in GPU Systems Using Idle GPU Core Resources
Sina Darabi, Mohammad Sadrosadati, Joël Lindegger +6
Graphics Processing Units (GPUs) are widely-used accelerators for data-parallel applications. In many GPU applications, GPU memory bandwidth bottlenecks performance, causing underu…
Understanding RowHammer Under Reduced Wordline Voltage: An Experimental Study Using Real DRAM Devices
A. Giray Yağlıkçı, Haocong Luo, Geraldo F. de Oliviera +7
RowHammer is a circuit-level DRAM vulnerability, where repeatedly activating and precharging a DRAM row, and thus alternating the voltage of a row's wordline between low and high v…
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning
Gagandeep Singh, Rakesh Nadig, Jisung Park +7
Hybrid storage systems (HSS) use multiple different storage devices to provide high and scalable storage capacity at high performance. Recent research proposes various techniques t…