Parallel and Customized Computer Architecture Course
“Parallel and Customized Computer Architecture” course (ECE-GY 9413) at NYU Tandon by Brandon Reagen
Posts by Category
computer-architecture
Research Paper Review: HAAC
This paper introduces HAAC, a novel garbled circuits accelerator and compiler, to make privacy-preserving computation more feasible. HAAC is a hardware-softw...
Research Paper Review: Characterizing and Optimizing End-to-End Systems for Private Inference
In two-party machine learning prediction services, clients seek to utilize a remote server’s trained machine learning model without exposing sensitive data. ...
Research Paper Review: RPU
The Ring-Learning-with-Errors (RLWE) method is crucial for enhancing security and privacy in various technologies like homomorphic encryption and post-quantu...
Research Paper Review: PRIME
In this paper, the researchers propose PRIME, a novel PIM architecture designed to accelerate NN applications within ReRAM-based main memory. PRIME allows fo...
Research Paper Review: Gemmini
The paper introduces Gemmini, an open-source tool for creating DNN accelerators. Gemmini generates a diverse range of efficient ASIC accelerators using a fle...
Research Paper Review: GenAx - A Genome Sequencing Accelerator
This paper introduces GenAx, a specialized accelerator designed to expedite the read alignment process, which is a time-intensive task in genome sequencing. ...
Research Paper Review: Graphicionado
The paper details the development of Graphicionado, a specialized accelerator designed for efficient graph analytics. The researchers optimized both data pro...
Research Paper Review: TPU
This paper assesses the effectiveness of a custom ASIC called a Tensor Processing Unit (TPU), which has been utilized in datacenters since 2015 to expedite t...
Research Paper Review: Systolic Architectures
As hardware costs decrease and processing requirements become clearer, specialized systems are increasingly developed; however, the lack of a standardized ap...
Research Paper Review: Eyeriss - A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks
In this paper, the researchers introduce a novel dataflow technique termed row-stationary (RS), aimed at minimizing energy consumption related to data moveme...
Research Paper Review: EIE - Efficient Inference Engine on Compressed Deep Neural Network
This paper introduces an Energy Efficient Inference Engine (EIE), aiming to process inference tasks on compressed network models efficiently. EIE achieves en...
Research Paper Review: MANIC - A Vector-Dataflow Architecture for Ultra-Low-Power Embedded Systems
In this paper, the authors present MANIC, a novel architecture tailored for the ultra-low-power sensor domain. MANIC achieves high energy efficiency while re...
Research Paper Review: Bridging the Computation Gap Between Programmable Processors and Hardwired Accelerators
The paper proposes a customized semi-programmable loop accelerator architecture that balances customization for efficiency with the flexibility to execute mu...
Research Paper Review: Polymorphous TRIPS Architecture
This paper presents the polymorphous TRIPS architecture, which can be configured for different granularities and types of parallelism. The results indicate s...
Research Paper Review: The Raw Microprocessor
This paper introduces the Raw microprocessor, which employs a scalable ISA to solve the growing wire-delay problem. By offering a parallel, software interfac...
Research Paper Review: Understanding Sources of Inefficiency in General-Purpose Chip
This paper compares general-purpose processors, including CMPs, to ASICs in terms of cost-effectiveness, performance, and energy efficiency. It focuses on a ...
Research Paper Review: Dark Silicon and the End of Multicore Scaling
The paper models multicore scaling limits to measure the speedup potential for parallel workloads for the next five technology generations. The findings indi...
Research Paper Review: WaveScalar
The paper presents WaveScalar, an alternative to superscalar design, a dataflow ISA and execution model designed for scalable, simple, high-performance proce...
Research Paper Review: A “New Ara” for Vector Computing: An Open Source Highly Efficient RISC-V V1.0 Vector Processor Design
The RISC-V V extension has recently reached the 1.0-Frozen Status. This paper introduces the initial open-source implementation, explores its influence on la...
Research Paper Review: Overcoming the Limitations of Conventional Vector Processors
The paper showcases CODE, a scalable vector microarchitecture that enhances performance and tackles issues in vector processors such as the complexity and si...
Research Paper Review: Vector Vs. Superscalar and VLIW Architectures for Embedded Multimedia Benchmarks
This report highlights VIRAM architecture’s efficiency for embedded multimedia applications, utilizing EEMBC benchmarks. With compact code, low power consump...
Notes: Vector Processors
This report delves into the fundamentals of Vector Processors. The report outlines the architecture, functionality, challenges, performance enhancements, as ...
course-notes
Course Notes: AlgoExpert - Searching Algorithms
In this post, I summarize the various searching algorithms discussed in AlgoExpert - Algorithm Questions Course and implement them in Python.
Course Notes: AlgoExpert - Sorting Algorithms
In this post, I summarize the various sorting algorithms discussed in AlgoExpert - Algorithm Questions Course and implement them in Python.
Course Notes: Linear Algebra
Within this PDF, you’ll find my comprehensive notes covering the “Linear Algebra for Machine Learning and Data Science” Course offered by DeepLearning.AI
Course Notes: Computer Networking
This is the summary of what I learned from Kunal Kushwaha’s YouTube Course on Computer Networking.
Course Notes: Git and GitHub
This is the summary of what I learned from Kunal Kushwaha’s YouTube Course on Git and GitHub, and a few extra notes taken while researching.
Course Notes: Learning How to Learn
These are my notes on the Coursera Course - Learning How to Learn. The course is instructed by Dr. Barbara Oakley and Terrence Sejnowski.
Course Notes: Introduction to Self Driving Cars
These are my notes on Introduction to Self Driving Cars course on Coursera. It is instructed by professors from the University of Toronto.
machine-learning
Deep Learning Course
“Deep Learning” course (ECE-GY 7123) at NYU Tandon by Chinmay Hegde
Advanced Machine Learning Course
“Advanced Machine Learning” course (ECE-GY 7143) at NYU Tandon by Anna Choromanska