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buzzword [2014/01/13 19:02]
rachata
buzzword [2014/01/17 19:19]
rachata
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   * Level of transformation   * Level of transformation
 +    * Algorithm
 +    * System software
 +    * Compiler
   * Cross abstraction layers   * Cross abstraction layers
 +    * Expose an interface
 +  * Tradeoffs
   * Caches   * Caches
 +  * Multi-thread
   * Multi-core   * Multi-core
   * Unfairness   * Unfairness
Line 18: Line 24:
   * Retention time   * Retention time
   * Profiling DRAM retention time   * Profiling DRAM retention time
 +  * Power consumption
 +  * Wimpy cores
   * Bloom filter   * Bloom filter
     * Pros/Cons     * Pros/Cons
     * False Positive     * False Positive
 +  * Simulation
 +  * Memory performance attacks
 +  * RTL design
 +
 +===== Lecture 2 (1/15 Wed.) =====
 +
 +  * Optimizing for energy/ Optimizing for the performance
 +    * Generally you should optimize for the users
 +  * state-of-the-art
 +  * RTL Simulation
 +    * Long, slow and can be costly
 +  * High level simulation
 +    * What should be employed?
 + * Important to get the idea of how they are implemented in RTL
 + * Allows designer to filter out techniques that do not work well
 +  * Design points
 +    * Design processors to meet the design points
 +  * Software stack
 +  * Design decisions
 +  * Datacenters
 +  * MIPS R2000
 +    * What are architectural techniques that improve the performance of a processor over MIPS 2000
 +  * Moore'​s Law
 +  * in-order execution
 +  * out-of-order execution
 +  * technologies that are available on cellphones
 +  * new applications that are made available through new computer architecture techniques
 +    * more data mining (genomics/​medical areas)
 + * lower power (cellphones)
 + * smaller cores (cellphones/​computers)
 + * etc.
 +  * Performance bottlenecks in a single thread/core processors
 +    * multi-core as an alternative
 +  * Memory wall (a part of scaling issue)
 +  * Scaling issue
 +    * Transister are getting smaller
 +  * Reliability problems that cause errors
 +  * Analogies from Kuhn's "The Structure of Scientific Revolutions"​ (Recommended book)
 +    * Pre paradigm science
 +    * Normal science
 +    * Revolutionalry science
 +  * Components of a computer
 +    * Computation
 +      * Communication
 +        * Storage
 +          * DRAM
 +          * NVRAM (Non-volatile memory): PCM, STT-MRAM
 +          * Storage (Flash/​Harddrive)
 +  * Von Neumann Model (Control flow model)
 +    * Stored program computer
 +        * Properties of Von Neumann Model: Stored program, sequential instruction processing
 +        * Unified memory
 +          * When does an instruction is being interpreted as an instruction (as oppose to a datum)?
 +        * Program counter
 +        * Examples: x86, ARM, Alpha, IBM Power series, SPARC, MIPS
 +  * Data flow model
 +    * Data flow machine
 +      * Data flow graph
 +    * Operands
 +    * Live-outs/​Live-ins
 +      * DIfferent types of data flow nodes (conditional/​relational/​barrier)
 +    * How to do transactional transaction in dataflow?
 +      * Example: bank transactions
 +  * Tradeoffs between control-driven and data-driven
 +    * What are easier to program?
 + * Which are easy to compile?
 + * What are more parallel (does that mean it is faster?)
 + * Which machines are more complex to design?
 +    * In control flow, when a program is stop, there is a pointer to the current state (precise state).
 +  * ISA vs. Microarchitecture
 +    * Semantics in the ISA
 + * uArch should obey the ISA
 + * Changing ISA is costly, can affect compatibility.
 +  * Instruction pointers
 +  * uArch techniques: common and powerful techniques break Vonn Neumann model if done at the ISA level
 +    * Conceptual techniques
 +      * Pipelining ​
 +      * Multiple instructions at a time
 +      * Out-of-order executions
 +      * etc.
 +    * Design techniques
 +      * Adder implementation (Bit serial, ripple carry, carry lookahead)
 +      * Connection machine (an example of a machine that use bit serial to tradeoff latency for more parallelism)
 +  * Microprocessor:​ ISA + uArch + circuits
 +  * What are a part of the ISA? Instructions,​ memory, etc.
 +    * Things that are visible to the programmer/​software
 +  * What are not a part of the ISA? (what goes inside: uArch techniques)
 +    * Things that are not suppose to be visible to the programmer/​software but typically make the processor faster and/or consumes less power and/or less complex
 +
 +===== Lecture 3 (1/17 Fri.) =====
 +
 +  * Design tradeoffs
 +  * Macro Architectures
 +  * Reconfiguribility vs. specialized designs
 +  * Parallelism (instructions,​ data parallel)
 +  * Uniform decode (Example: Alpha)
 +  * Steering bits (Sub-opcode)
 +  * 0,1,2,3 address machines
 +    * Stack machine
 +    * Accumulator machine
 +    * 2-operand machine
 +    * 3-operand machine
 +    * Tradeoffs between 0,1,2,3 address machines
 +  * Instructions/​Opcode/​Operade specifiers (i.e. addressing modes)
 +  * Simply vs. complex data type (and their tradeoffs)
 +  * Semantic gap
 +  * Translation layer
 +  * Addressability
 +  * Byte/bit addressable machines
 +  * Virtual memory
 +  * Big/little endian
 +  * Benefits of having registers (data locality)
 +  * Programmer visible (Architectural) state
 +    * Programmers can access this directly
 +    * What are the benefits?
 +  * Microarchitectural state
 +    * Programmers cannot access this directly
 +  * Evolution of registers (from accumulators to registers)
 +  * Different types of instructions
 +    * Control instructions
 +    * Data instructions
 +    * Operation instructions
 +  * Addressing modes
 +    * Tradeoffs (complexity,​ flexibility,​ etc.)
 +  * Orthogonal ISA
 +    * Addressing modes that are orthogonal to instructino types
 +  * Vectors vs. non vectored interrupts
 +  * Complex vs. simple instructions
 +    * Tradeoffs
 +  * RISC vs. CISC
 +    * Tradeoff
 +    * Backward compatibility
 +    * Performance
 +    * Optimization opportunity
  
buzzword.txt ยท Last modified: 2015/04/27 18:20 by rachata